NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Stability of a Dynamic System D Bishakh Dr. Bi h kh Bhattacharya Bh tt h Professor, Department of Mechanical Engineering IIT Kanpur Joint Initiative of IITs and IISc - Funded by MHRD Module 2- Lecture 12 NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System This Lecture Contains Introduction Simple Test of Stability Routh Stability Criteria Special Cases An Assignment An Assignment Joint Initiative of IITs and IISc - Funded by MHRD Module 2- Lecture 12 NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Introduction • The response of a Dynamic System may become unbounded while subjected to a bounded b d d input. i t Such S h systems t are referred f d as unstable t bl systems. t One O common example is an inverted pendulum on a rolling cart as shown below: • A Control system could be designed such that by controlling the velocity of the rolling cart one can control the unstable response of the inverted pendulum. • However, we need to first carry out a stability analysis of the system. Joint Initiative of IITs and IISc ‐ Funded by MHRD 3 NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 How to test the stability of a system • • A simple method to test the stability of a system is by checking the poles of the system t transfer t f ffunction. ti Consider a system which is represented by a generalized transfer function as follows: N ( s ) c0 s m c1s m 1 .... cm 1s cm T (s) D( s ) a0 s n a1s n 1 ... an 1s an • • • Now, equating the denominator polynomial D(s) to zero, one can obtain the characteristic equation for the system. The roots of this characteristic equations q are the poles p of the system. y If you obtain one or more poles with positive real part then the system could be predicted to be an unstable system. However, it is often tedious to obtain the poles of a complex system before predicting stability condition of the system system. Joint Initiative of IITs and IISc ‐ Funded by MHRD 4 NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Routh’s Routh s Test for Stability For a characteristic polynomial D(s), the number of poles in the right‐half plane may be determined without actually finding the roots by using the Routh Test. The Routh array for the polynomial D(s) could be constructed as follows: NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Routh’s Theorem YYou may have observed that the first row of the Routh table consists of odd coefficients h b d th t th fi t f th R th t bl i t f dd ffi i t of D(s) starting from the first coefficient related to sn . Again, the second row consists of the even coefficients starting from the second coefficient related to sn‐1 . The coefficients b1 etc. For the third row could be computed as follows. The same pattern could be used for the subsequent rows. Routh s Theorem: The number of roots of the characteristic polynomial D(s) in the Routh’s Theorem: The number of roots of the characteristic polynomial D(s) in the right‐half plane equals the number of sign changes in the first column of the Routh Table. NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Stability as a function of a parameter 1. Use Mason’s rule to find out the determinant of the system 2. Numerator of the determinant will be the characteristic polynomial 3. Use Routh’s test and obtain the array 4. Note the conditions for stability analysing the left coloumn coloumn Module 2- Lecture 12 NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Unusual Case: Left Column Zero • • • • Consider D(s) ( ) = 3s4 + 6s3 + 2s2 + 4s + 5 Note appearance of zero in the first column Rename the row as Row A C Create row B ffrom Row R Ab by sliding lidi the h A row to left until you get a non-zero pivot • The sign of the row is changed by (-1) ( 1)n where n is the number of times this row is slided • The new non-zero row is formed by adding A and B • [Reference Benedir and Picinbond, IEEE Trans on Automatic Control,, 1990]] NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Other approaches for zero left column Alternate approaches: pp Put a parameter, say ε instead of zero in the pivot, assuming it to be a very small positive number Continue and find sign changes OR Write the polynomial in reverse order such that the roots of the reverse polynomial will be the reciprocal i l off the h roots off the h original i i l polynomial l i l and follow the same procedure NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Assignment - Unusual Case: A zero row Consider the polynomial D(s) as s8 + 3 s7 + 10 s6 + 24 s5 + 48 s4 + 96s 96 3 + 128 s2 + 192 s+ 128 Find out the stability of the system. Hints: When you encounter a zero row, go back to the last row, construct the corresponding polynomial (even/odd). Differentiate the polynomial and obtain the new non-zero row. row NPTEL >> Mechanical Engineering >> Modeling and Control of Dynamic electro-Mechanical System Module 2- Lecture 12 Special References for this lecture Control Engineering and introductory course, Wilkie, Johnson and Katebi, PALGRAVE Control Systems Engineering – Norman S Nise, John Wiley & Sons Modern Control Engineering – K. Ogata, Prentice Hall Joint Initiative of IITs and IISc ‐ Funded by MHRD 11
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