Electro-Mechanical Systems Laboratory 19 Reber Building Mechanical Engineering Penn State University University Park, PA-16802 Phone: (814)-863-4346 EMSL, PSU Contents 1 People 1 2 High-speed fatigue testing apparatus 2 3 Surface Characterization 7 4 Multi-degree of freedom mechanical vibration apparatus 10 4.1 Hardware implementation and software structure . . . . . . . 12 5 Electric Motor set-up 5.1 Motor and Motor-Mount . . . . . . . . . . . . . . . . 5.2 Motor Controller . . . . . . . . . . . . . . . . . . . . 5.2.1 Controller . . . . . . . . . . . . . . . . . . . . 5.2.2 Interface . . . . . . . . . . . . . . . . . . . . . 5.3 Motor Drive . . . . . . . . . . . . . . . . . . . . . . . 5.3.1 Drive . . . . . . . . . . . . . . . . . . . . . . 5.3.2 Current Sensor . . . . . . . . . . . . . . . . . 5.3.3 Isolator . . . . . . . . . . . . . . . . . . . . . 5.4 Details of the experiments performed . . . . . . . . . 5.4.1 Controller Block . . . . . . . . . . . . . . . . 5.4.2 Direct magnetic flux linkage estimation block 5.4.3 Operating Condition Block . . . . . . . . . . 5.4.4 Input and Output Block . . . . . . . . . . . . 5.5 Demagnetization Procedure . . . . . . . . . . . . . . 5.6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 14 15 16 17 17 17 19 20 20 20 21 22 22 23 24 EMSL, PSU 1 People Name Principal Investigator: Professor Asok Ray Faculty Researcher: Professor Jeffrey Meyer Faculty Researcher: Professor Pan Michaleris Senior Research Personnel: Dr. Abhishek Srivastav Senior Research Personnel: Dr. Shalabh Gupta Senior Research Personnel: Dr. Eric E. Keller Graduate Student: Dheeraj S. Singh Graduate Student: Devesh K. Jha 1 Email [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] EMSL, PSU 2 High-speed fatigue testing apparatus This servo-hydraulic fatigue test apparatus is built upon a computer-controlled MTS 831.10 Elastometer Test System. The following sub-systems are integrated for in-situ monitoring of test specimens under static or dynamic loads using optical, ultrasonic and acoustic emission sensing modalities. Figure 1: High-speed fatigue testing apparatus Hardware B Fatigue test equipment is a MTS 831.10 Elastometer Test System that can work at a loading frequency ranging from 0.1 to 200 Hz; the static load ratings of the test-set are ± 15kN and ±50mm B Long Distance Traveling Optical Microscope consists of an Olympus microscope mounted on a 3-axis precision stage and is fitted with a digital camera from DALSA. Together with the camera, the microscope can resolve images on the order of 1 micron per pixel at a distance of ≈ 22 mm. 2 EMSL, PSU Figure 2: Ultrasonic Flaw Detection B 3-axis linear motion stages consists of three stepper motor-driven precision stages that that have resolution of 1 µm in each axis. This is used to control the location and focus of the microscope. B Ultrasonic Flaw Detector is a piezo-electric transducer that injects waves into the specimen and is spatially installed across the crack plane to measure the signal. The signal energy is attenuated as a function of damage. The signal from one of the ultrasonic transducers consists of a spike pulse that is modulated into a band-limited signal with frequencies, ranging from 2 to 4 MHz. Alternatively, another transducer may use a gated 5 MHz sine wave signal. Both transducers emit a signal for a very short portion of the measurement cycle. The ultrasonic measurement data is collected asynchronously from the test specimens under cyclic loading. Upon crack formation, ultrasonic data may be collected when the crack is fully open and thus the attenuation is at its maximum. Generally, this phenomenon does not significantly affect the observations until the crack length is large enough to almost fully attenuate the ultrasonic signal. In addition to ductile alloys, the apparatus has the capability to test matrix composites for investigation of material behavior changes over a prolonged period of time due to fatigue damage. B Acoustic Emission (AE) occurs when transient elastic waves are produced by a sudden redistribution of stress in a material. An external stimulus such as change in pressure, load, or temperature can trigger localized sources to release of energy. This energy propagate through the material in the form of stress waves and can be picked up using relevant sensors. Sources of AE can be various such as - initiation and growth of cracks, slip and dislocation movements in metallic materials. 3 EMSL, PSU Composites, on the other hand, produce AE via phenomenon such as matrix cracking, fiber breakage and de-bonding. Current set-up has acoustic emission sensors from Physical Acoustic Corporation model R15. These sensors can pick-up elastic waves plane waves (angle of incidence normal to the face of the sensor) and surface waves (angle of incidence transverse or parallel to sensor face) with peak sensitivity 63 V/(µbar) and 69 V/(m/s) respectively. The operational frequency range of the sensor is 50 - 200 kHz. Received waveforms can be analyzed to get parameters such as rise time, amplitude and energy. Localization of the AE source can be done using the time of arrival and multiple sensors. Also, isolation of spurious noise such as chatter from the clamping bolts, can be done by filtering based on time of arrival to localize the region of interest. Software Data acquisition and communication is achieved by dedicated software to control and monitor each of the subsystems. The following software have been written and integrated for this purpose B Station Manager for MTS Elastomer This software was provided by the MTS corporation and is being used to control the Elastomer for load and frequency settings for an experiment. It has the capability of producing load cycles in a number of waveform shapes such as sinusoidal and square. It allows to run both force mode and displacement mode experiments when the control variable is force and displacement respectively. B Fatigue Data Monitor This software poles into the controller for the MTS elastomer system to gather fatigue data such as load, load cycles, displacement, etc. It then post the acquired information over a TCP/IP network for other programs to download and process. B Stage Motion Controller This software has been written to control the motion of the three linear stages forming the triaxial motion setup. The three axes are Focus Axis, Horizontal Axis and the Vertical Axis. Each axis can be controlled separately with an accuracy of 1 micron. The software stores the current location of all the axes which is used to measure the length of the crack and monitor its evolution with load cycles. Crack lengths and stage positions are clubbed into a data packet and posted over a TCP/IP network for other client programs. 4 EMSL, PSU B Video Server This program controls the camera to get a running video or still images of the specimen at specified times. This is a server application and can be hooked up from remote machines to view and save images of the specimen. B Video Client This is a client program which talks to the Video Server to acquire video streams and still images over the network. More than one clients can be connected to the Video server from remote machines to observe and save image data. B The HUB This software, as the name suggests, is used to link different software posting data over the TCP/IP network so that the data can be synchronized and stored at a desired location. This program talks to the Stage Motion Controller for microscope positions, the Station Manager for the load, displacement and load cycle values. These values as used to stamp the images, captured by the Video Server and Client, for load cycles and crack length values. It also sends this information Figure 3: Software communication diagram 5 EMSL, PSU to the Ultrasonic Scope to store cycle and load information with the stored waveforms. B Scope This software is used to display the data received from the ultrasonic transducers and store it at a given location. A data window can be selected by the user to specify the data range of interest. Waveforms are stamped with load and cycle information received form the HUB. Using this software, data can be directly converted into MATLAB usable form for further processing. 6 EMSL, PSU 3 Surface Characterization Zygo interferometer, Fig. 5 is a surface characterization equipment which uses light beam splitting and interference between reference beam and the one reflected form the test surface to profile the peaks and valleys. Measurements are non contact and non destructive and can be performed in ambient light conditions. A three-dimensional profile of the specimen surface is generated by a NewView 5000 surface interferometer apparatus that measures the surface heights of the scanned area ranging from 1nm to 5000µm with a resolution of 0.1nm at the vertical scan speeds up to 10µms−1 It can scan areas up to 50 mm× 50mm using its unique image stitching capabilities. This interferometer uses a non-contact scanning method using light interferometry to acquire ultrahigh resolution images. It uses a closed-loop piezoelectric scanner employing low-noise capacitive sensors to ensure accurate and repeatable linear motion over the full range of a scanned area. The surface interferometer is equipped with the software MetroPro that is used to operate the interferometer and to store the surface profile data in a convenient format for further data processing. Currently this set-up is being used to characterize the damage site in a specimen progressively loaded to higher number of cycles under fatigue load. The goal is detect early signatures of damage - manifesting as surface deformations before a surface crack becomes observable through the optical microscope. A typical results of surface characterization experiments of fatigue damage site is shown in Fig 6. 7 EMSL, PSU Figure 4: Interferometer for surface characterization Figure 5: Working Principle of the interferometer 8 EMSL, PSU NoLoad 67.5k cycles 68.5k cycles 69k cycles Figure 6: Surface profiled: Notch side; Scan size 0.70 × 0.75mm; Specimen: CompactSp15 9 EMSL, PSU 4 Multi-degree of freedom mechanical vibration apparatus This experimental apparatus has been designed and fabricated specifically to study the characteristics of complex mechanical vibration systems that have the capacity of multiple degrees of freedom for motion along different coordinate directions. This special purpose experimental apparatus is shown in Figure 7. The experimental apparatus can be used to replicate the vibration response of a mechanical structure such as a support beam under external excitation (e.g. seismic). The apparatus has three principle degrees of freedom that arise from three actuators that provide the capability of motion along three different directions. Each of the actuator is excited using a remote computer through an electro-hydraulic position feedback control and is capable of providing a force up to 3,400 kgf. The actuators can be excited over a wide band of frequency range and can produce oscillations of significant magnitude. Figure 7: Multi-degree of freedom mechanical vibration apparatus The experimental apparatus consists of a rectangular base that is bolted to the ground and supports two beams - horizontal (Bh ) and vertical (Bv ), and three actuators - bottom (Ay ), back (Az ) and horizontal (Ax ). Figure 8 gives a two-dimensional schematic of the apparatus. The base of the vertical beam Bv is connected to the bottom actuator Ay that moves the vertical beam in the yz-plane about the hinge hy . The back actuator Az is mounted on the vertical beam and moves the horizontal beam Bh , pivoted at hz , in 10 EMSL, PSU Test Beam Horizontal Actuator (Ax) hz hx P (a) hz (Az) (Bh) Horizontal Beam hx P z (Bv) Vertical Actuator hy Test Beam y x Vertical Beam (Ay) Bottom Actuator (b) Figure 8: 2-D schematic of the Multi-degree of freedom apparatus (a) Top View (b) Side View the yz-plane. The horizontal actuator Ax rotates the test beam about the pivot point hx in the xy-plane. Thus, the angular motion of the beams Bv and Bh about the hinges hx , hy and hz are controlled by the linear motions of the three actuators Ax , Ay and Az . For small angular displacements of the beams, their angular motions translate into the movement of the point P in three axes - x, y and z. The test beam is mounted at point P and it can be given a desired base excitation in all or any direction of motion. The structure of beams is made from 6mm thick hollow square steel sections. The multi-degree of freedom mechanical vibration apparatus in Figure 7 is logically partitioned into two subsystems as described below. a) The plant subsystem consists of the mechanical structure including flexible hinges that connect the beams, the hydraulic system, and the actuators and b) The control and instrumentation subsystem consists of control computers, data acquisition and processing system, communications hardware and software, and the sensors. The sensors include: i) linear variable differential transformers (LV DT ) for displacement measurement and b) integrated circuit-piezoelectric shear accelerometers that are used 11 EMSL, PSU ym z Abase yref m Atip y x Figure 9: Schematic of the test beam structure to measure the vibrations of the tip and the base of the horizontal beam (see Figure 9). The sensitivity of sensor is 2.727 mV/ms−2 . The control system and data acquisition software is executed under DSpace platform on the windows operating system. The feedback control system shown in Figure 10 is installed on a Pentium pc along with necessary A/D and D/A interface to the feedback amplifiers connected to the sensors and actuators of the test apparatus. Figure 10: Control circuit for the mechanical vibration apparatus 4.1 Hardware implementation and software structure The multi-degree of freedom mechanical vibration apparatus (Figure 7) is interfaced with a DSpace Data Acquisition Board having 16 A/D channels and 8 D/A channels. Data acquisition is carried out with a sampling rate at 1 KHz for monitoring and control. The time series data for statistical pattern recognition can be decimated as required. The real-time instrumentation and control subsystem of this test apparatus is implemented on a Pentium PC platform. The software runs on the Windows XP Operating System and is provided with A/D and D/A interfaces to the amplifiers serving the sensors and actuators through the Control desk front end. The Control desk front end loads a Simulink (Matlab based) module on to the data 12 EMSL, PSU acquisition card to perform real-time communication tasks, in addition to data acquisition and built-in tests (e.g., software limit checks and saturation checks). 13 EMSL, PSU 5 Electric Motor set-up The Permanent Magnet Synchronous Motor (P M SM ) test-bed developed for validation and proof-of-concept of the fault detection by symbolic identification technique has been carried out in several parallel stages, all of which have been finally integrated and tested. The following sections describe the various parts of the P M SM test-bed. 5.1 Motor and Motor-Mount The properties of the P M SM used in the experimental setup are listed below: B General Parameters − − − − Cont. Stall Torque Lb-In (N-m): 3.90 (0.45) Cont. Stall Current: 1.49 Peak Torque Lb-In (N-m): 15.93 (1.8) Peak Current: 5 Amp B Electrical Parameters − − − − Torque Constant Lb-In/Amp (N-m/Amp): 3.10 (0.35) Voltage Constant Vpk/KRPM (VRMS/KRPM): 30.4 (21.48) Resistance: 11.95 Inductance (mHy): 16.5 B Mechanical Parameters − − − − Inertia Lb-In-s2 (Kg-cm2): 6e-005 (0.06774) Speed at 160 Bus Volts (RPM): 4000 Max Speed (RPM): 10000 No. of Motor Poles: 4 B Feedback Device − Encoder Line Count 2500ppr Figure 11 also shows the aluminum motor mount which has been designed and manufactured with adjustable sliding support for easy alignment of the motor with the dynamometer bearing. 14 EMSL, PSU 5.2 Motor Controller The motor controller has been developed in the Matlab/Simulink environment, and interfaced with the hardware through a DSpace card. The features of the DSpace card are listed below: B Advanced Control Education Kit 1103 consisting of B DS1103 PowerPC GX / 1GHz controller board, B 32 MB application SDRAM, B 96 MB communication SDRAM, B PX4 expansion box with high speed serial host interface consisting of DS814, PC-side PCI bus DS817 and opto-cable, CLP1103 Connector/LED Panel, CDP Control Development Software Package and Microtec C Cross Compiler with USB dongle Figure 11: The P M SM and its mount 15 EMSL, PSU Figure 12: Speed controller implemented in Matlab/Simulink environment 5.2.1 Controller The speed controller developed is displayed in Fig. 12. The purpose of developing the speed controller is to ensure that the demagnetization experiments are carried out at a uniform speed of operation thus ensuring uniformity in testing conditions. The controller employed is a simple PI controller involving two feed-back loops. The encoder interface block reads the motor position and speed, which are respectively used in the reference frame transformations and a feed-forward term. The current measurement block reads the line currents which are measured by the Hall Effect sensors. A separate board has been designed and fabricated for accommodating the Hall Effect sensors, which has been described later. The speed controller is built on top of a torque controller by adding an outer loop with a separate proportionalintegral control. The rotational speed read-out from the encoder interface is compared with the commanded speed and passed through the PI control to generate quadrature axis current command, which is proportional to the torque. The current readings are then compared with the desired values of the currents which are dictated by torque requirements in the PI control block. The command voltage thus obtained is reference frame transformed and the corresponding duty cycles are generated in the Duty Cycle Generator block. The rest of the blocks are mainly related to over-voltage and 16 EMSL, PSU over-current shutdown of the motor. 5.2.2 Interface Figure 13: ControlDesk interface for graphical displays and commands The ’ControlDesk’ has been used to create a user-friendly interface for commanding the permanent magnet synchronous motor, for real time monitoring of the control signals, as well as data capture. A screen shot of the ControlDesk interface that has been developed, has been shown in Fig. 13. The graphical displays show the direct and quadrature axis current and voltages, as well as the rotor speed and orientation. The bus voltage is displayed as a safety flag. 5.3 Motor Drive The motor drive circuit for investigating failure in P M SM s has been designed using the Integrated Power Module for Appliance Motor Drive: IRAMS10UP60A. The electronic drive may be logically divided into three sub-circuits, which are explained in the following sections. A schematic of the electronic drive, constructed in Eagle, is shown in Fig. ??. 5.3.1 Drive The 600V IRAMS module contains six IGBT die each with its own discrete gate resistor, six commutation diode die, one three phase monolithic, level 17 EMSL, PSU shifting driver chip, three bootstrap diodes with current limiting resistor and an NTC thermistor/ resistor pair for over temperature trip. The over current trip circuit responds to an input voltage generated from an external sense element such as a current transformer or sense resistor. The micro controller provides all of the logic level PWM signal inputs to the IRAMS module as well as processing current and temperature analog signals fed back from the module. The detailed motor drive circuit using the IRAMS10UP60A modules is illustrated in Fig. ??No high-side floating power supplies are required because the bootstrap capacitors provide power for the three independent high side driver channels. Motor current is monitored by external Hall effect sensors in each phase leg of the IGBT inverter. Under normal operating conditions, IGBT temperature is continuously monitored by the internal NTC thermistor feeding a temperature dependent voltage to the micro processor. This voltage also feeds the internal shut down function of the driver which terminates all 6 1 2 3 4 5 ! 6 7 8 6 : ; ; < = 3 9 ! " # $ % & ' ( > + / / . ? @ ) * + , - . / 0 A / D E B ? 0 C + ) . / E E F G G H I J J K L M N O P Figure 14: Several components of the P M SM drive and their interconnections 18 EMSL, PSU Figure 15: The full setup with two drives, dynamometer and computer drive signals when activated. In the event of an over current caused by a stalled motor or other fault condition, the active low signal from the micro controller turns off the external N-channel MOSFET and over rides the temperature signal causing instant shut down. After shutdown the 1.5W/6.8nF network provides a reset function to re-establish IGBT gate drive following a 9mS delay. The micro processor can be programmed provide permanent termination of its outputs following a predetermined number of resets. 5.3.2 Current Sensor The current sensors used in the setup and shown in Fig. 14 are closed loop (compensated) Hall Effect current transducers LA 55-P procured from LEM. The gains are controlled by using a LM124 chip consists of four independent, high gain, internally frequency compensated operational amplifiers which were designed specifically to operate from a single power supply over a wide range of voltages. The OP Amp gains are adjusted by resistors. 19 EMSL, PSU 5.3.3 Isolator The DSpace controller voard has been electrically isolated from the high voltage side of the drive by using six high speed Photodiode Darlington optocouplers, shown in Fig. 14. The 5 volt input to the opto-coupler is provided by a 3-Terminal 1A Positive Voltage Regulator LM 7805. The LM 7805 series of three terminal positive regulators are available in the T O −220/D −P AK package and with several fixed output voltages, making them useful in a wide range of applications. 5.4 Details of the experiments performed The purpose of the experiment is to validate advanced F DI algorithms for prognosis and diagnosis of demagnetization failure in permanent magnet synchronous motors. The needs of the experiment necessitates a highly specialized P M SM apparatus with 1. A controller that enables it to run at a specified speed under varying load torque conditions 2. A method for imposing various load torques on the motor 3. Instrumentation for data collection and storage 4. A method for direct estimation of the level of demagnetization 5. A method for accelerated demagnetization of the motor The schematic of the entire experimental setup has been shown in Figure 16. The whole figure is divided into several blocks for convenience, each of which will be described next. 5.4.1 Controller Block The P M SM used in the experiment is a three-phase four-pole device rated at 160 V bus voltage, 4000 rpm and is fed by a pulse-width-modulated (PWM ) inverter. The stator resistance of the motor is Rs = 11.95 Ω; the quadrature-axis and direct-axis inductances are: Lq = Ld = 16.5 × 10−3 H; and the rotor inertia is J = 0.06774 kg cm2 . Two P I controllers in two loops have been employed for controlling the power circuit that drives the P M SM . The inner loop regulates the motor’s stator currents, while the outer loop regulates the motor’s speed. In this 20 EMSL, PSU z { | c d c i c j Q } W b Z [ W ^ e f g h e f g h R [ c l m n m n o o s e e f g f g t h h S e f g u h c m n o k v Y \ p X q w x r y b ^ [ Z ^ [ s S ¡ ¢ £ ¤ ¢ U £ ¥ ¦ ¤ ¢ £ R T u S T Q R ~ V W X Y Z W [ \ ] ^ _ [ W ³ § ¨ v Y x © c ª « c a b c ` W [ \ ] ^ ^ ¬ c · © © ´ s µ ´ s t ´ s ª c ¶ ¸ ® ¯ l ° l ¦ ± ¹ º º ¢ ² l » ¦ ¼ ½ ± ¾ ¿ c © c ¸ À Á Â Ã ¬ Ä Å Æ Ç È É Figure 16: Inverter-driven permanent magnet synchronous motor (PMSM ) system control scheme, the error in the measured and the commanded speed generates the command quadrature axis current, which is directly proportional to the electromagnetic torque if the direct axis current is maintained to be 0. The line currents ia , ib and ic are then measured. The reference values are compared with the actual values of the currents, and the error signal, thus constructed is used for generating the gate turn on/off commands. 5.4.2 Direct magnetic flux linkage estimation block As the permanent magnet inside the P M SM slowly deteriorates, it is imperative to be able to measure the extent of demagnetization by some kind of direct technique, at each stage of demagnetization, so that the degree of anomaly predicted by SDF can be mapped to this physical quantity. Several researches have dealt with the estimation of the flux of a P M SM . It is of no doubt that the no-load test method has become the most popular one. In 21 EMSL, PSU this method, an auxiliary motor is required to drive the P M SM at constant speed. The windings of P M SM are at open-circuit so that the flux can be estimated by the EMF of the P M SM . The two phase stator voltage in the rotor reference frame is given by v̄ r = Rīr + L Here d r ī + ωre J Līr + λ̄rP M dt " (1) # 0 −1 J= 1 0 is the 90o rotation matrix. Under steady state conditions, the derivative of the current vector is dropped, and the voltage expression becomes: V̄ r = RI¯r + Ωre J LI¯r + Λ̄rP M (2) where Ωre is the steady state electrical rotor velocity. In open circuit there are no currents flowing in the windings of the machine, so the voltage is entirely due to the permanent magnet flux linkage, hence kV̄ k = kJΩre Λ̄rP M k = P Ωr ΛP M 2 (3) The permanent magnet flux linkage is therefore ΛP M kV̄ k = P = 2 Ωr q 2 3 Vl−l RM S P 2π rpm 2 60 (4) At each stage of demagnetization, the line-to-line voltage and the motor speed in rpm is recorded. The permanent magnet flux linkage is estimated from these following Eqn. 4. 5.4.3 Operating Condition Block The desired rpm and the load torque is set in the operating condition block. The load torque is directly set by the dyne. 5.4.4 Input and Output Block All the variables are captured and stored in the output block, while the input voltage commands are also saved in the input block. It may be noted, that blocks 5.4.1 and 5.4.2 are never engaged simultaneously, because that would result in a fight between the external back-driving motor and the P M SM controller. 22 EMSL, PSU Ù Ë Ê Ë Ì Î Ú Û Ð Ê Ñ Ò Ó Ò Ô Õ Ô Ò × Ø Ö Î Ï Ë Í Ê Ð Ó Ó Ò Ô Õ Ô Ò Ö Ê Ì Figure 17: Scheme for demagnetization of the PMSM 5.5 Demagnetization Procedure The electromagnetic torque is proportional to the cross-product between the current vector and the permanent magnet flux linkage vector. For a given current magnitude, torque is therefore maximized if the direction of the field generated by the stator windings is perpendicular to the direction of the field generated by the permanent magnets. The resulting torque attempts to align these fields. The P W M controller attempts to generate the line current in the three phases in such a way, that this orthogonality is maintained. Figure 17 illustrates these concepts. It may be noted that orientation feedback is vital to this scheme, since 3-phase to 2-phase conversion is dependent upon correct estimation of the rotor angle. In the present experiment, during demagnetization, just enough offset is added to the encoder orientation so that instead of being orthogonal, the stator winding field directly opposes the field generated by the permanent magnets. Thus, since the two fields are aligned, no torque is generated, instead the permanent magnets slowly lose their magnetism. The considerable amount of heat generated in the process enhances the loss of magnetic property in the permanent magnets. The temperatures which mark the end of each individual demagnetization run and the corresponding reduction in the magnetic flux linkage measured by the no-load test method (section 5.4.2) are listed in Fig. 18 23 EMSL, PSU % Reduction in Magnetic Flux 2.5 2.2743 2 1.8946 1.5 1.3498 1 0.5 0 80 0.8708 0.3879 100 120 140 Temperature 160 170 Figure 18: Variation of Magnetic Flux Linkage with Temperature 5.6 Conclusion The P M SM experimental setup developed in the Electro-Mechanical Systems Laboratory provides a unique test-bed for performing accelerated demagnetization experiments on permanent magnet motors in a controlled environment and validate advanced algorithms for failure prognosis and diagnosis. 24
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