LINEAR CONTROL SYSTEMS

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LINEAR CONTROL SYSTEMS Ali Karimpour Associate Professor Ferdowsi University of Mashhad <<<1.1>>> ###Control System Design### {{{Control, Design}}}

Converting of different representations of control systems Lecture 4 Converting of different representations of control systems Topics to be covered include: Mason’s flow graph loop rule (Converting SD to TF) Realization (Converting TF to SS model) Converting high order differential equation to state space

Different representations نمايشهای مختلف SS SD TF HODE Discussed in the last lecture Will be discussed in this lecture Realization Mason’s rule

Mason’s flow graph loop rule فرمول بهره ميسون SD TF Mason’s rule

Mason’s flow graph lop rule قانون گين ميسون

Example 1 مثال 1 Note

Example 2 مثال 2

مثال 3 Example 3 Find the TF model for the following state diagram. b r(s) c(s) 1 c c.1 + bs-1.1 1+as-1 This is a base form for order 1 transfer function. اين يک حالت پايه برای تابع انتقال درجه 1 است

مثال 3 Example 3 Find the TF model for following state diagram. r(s) c(s) b 1 d -c This is a base form for order 2 transfer function. اين يک حالت پايه برای تابع انتقال درجه 2 است

Realization پياده سازی TF SS Realization SD

Realization پياده سازی چند روش پياده سازی Some Realization methods 1- Direct Realization. 2- Series Realization. 3- Parallel Realization. 1- پياده سازی مستقيم 2- پياده سازی سری 3- پياده سازی موازی

Direct Realization پياده سازی مستقيم

پياده سازی مستقيم Direct Realization r(s) c(s) X x1 x3 x2 -4 -5 -2 1 7 12 -2 S-1

Series Realization پياده سازی سري S-1 -a b r(s) c(s) 1 c

پياده سازی سري Series Realization r(s) c(s) x1 x3 x2 S-1 -a b 1 c S-1 4 1 x1 x2 x3 S-1 -2 1

Parallel Realization پياده سازی موازی 3 1 -2 S-1 -a b 1 c

پياده سازی موازی Parallel Realization 3 1 -2 r(s) c(s) S-1 -1 3 1 S-1 پياده سازی موازی 3 1 -2 S-1 -1 3 1 r(s) c(s) S-1 -2 1 S-1 -2 1 -3 S-1 -a b 1 c

پياده سازی موازی Parallel Realization 3 1 -2 x1 x2 r(s) c(s) x3 3 -1 -3 -1 3 r(s) c(s) x2 x3

Parallel Realization پياده سازی موازی 6 -1 2 x2 x1 x3 S-1 -1 6 1 r(s) c(s) -1 S-1 -2 2 1 c(s)

Converting high order differential equation to state space SS HODE TF

Exercises 4-1 Find Y(s)/U(s) for following system Ans

Exercises (Continue) 4-2 Find c1(s)/r2(s) for following system Answer 4-3 Find g such that C(s)/R(s) for following system is (2s+2)/s+2 Answer

Exercises (Continue) 4-4 Find Y1(s)/R(s) for following system Answer 4-5 Find C1(s)/R1(s) and C2(s)/R2(s) for following system Answer

Exercises (Continue) 4-6 Find C/R for following system Answer

Exercises (Continue) 4-7 Find the SS model for following system. It was in some exams. 4-8 Find the TF model for following system without any inverse manipulation. 4-9 Find the SS model for following system. G(s)

It appears in many exams.***** Exercises (Continue) 4-10 Find direct realization, series realization and parallel realization for following system. 4-11 a) Find the transfer function of following system by Masson formula. b) Find the state space model of system. c) Find the transfer function of system from the SS model in part b d) Compare part “a” and part “c” S-1 -a -b r(s) c(s) c 1 It appears in many exams.*****

Exercises (Continue) 4-12 a) Find the transfer function of following system by Masson formula. b) Find the state space model of system. c) Find the transfer function of system from the SS model in part b d) Compare part “a” and part “c” S-1 -a -b r(s) c(s) c 1 Regional Electrical engineering Olympiad spring 2008.*****

Appendix: Example 1 a) Draw the state diagram for the following differential equation. b) Suppose c(t) as output and r(t) as input and find transfer function.

Appendix: Example 2: Express the following set of differential equations in the form of and draw corresponding state diagram.

Appendix: Example 3: Determine the transfer function of following system without using any inverse manipulation. )

Appendix: Example 4: Determine the modal form of this transfer function. One particular useful canonical form is called the Modal Form. It is a diagonal representation of the state-space model. Assume for now that the transfer function has distinct real poles pi (but this easily extends to the case with complex poles.) Now define a collection of first order systems, each with state xi

Appendix: Example 4: Determine the modal form of this transfer function. One particular useful canonical form is called the Modal Form. Which can be written as

Appendix: Example 4: Determine the modal form of this transfer function. One particular useful canonical form is called the Modal Form. With : Good representation to use for numerical robustness reasons. Avoids some of the large coefficients in the other 4 canonical forms.