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BEKC3533 – SEM2, 15/16 DR. CHONG SH, FKE, UTEM 1 BEKC 3533 | INTRODUCTION TO CONTROL SYSTEM CHAPTER 2: Part 4 Dynamic Models 1 DR CHONG Dr. Chong Shin Horng Control, Instrumentation & Automation Faculty of Electrical Engineering 2.2 Mathematical Modeling in Time Domain 2.2.1 State-variable modeling 2.2.2 Signal-flow graph, block diagramreduction & Mason’s rule 2.2.3 The transfer function from the state equation 2.2.4 The state equation form the transfer function 2.2.5 Linearization DR CHONG 2 State-Variable Modeling § Two approaches are available for the analysis and design of feedback control systems: DR CHONG 3 Frequency domain Time domain Classical Disadvantage:- . Advantage:- Advantage:- Disadvantage:- State-Variable Modeling § Additional reasons for developing the state model: 1. More easily to perform computer-aided analysis and design of state models on digital computers for higher-order systems; 2. Can feedback more information (internal variables) about the plant, hence can achieve a more complete control system; 3. Can approximate closely a system using mathematical function; DR CHONG 4
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BEKC3533 – SEM2, 15/16 DR. CHONG SH, FKE, UTEM 2 State-Variable Modeling §
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  • Spring '19
  • Dr.Saifulza
  • y1, Dr Chong

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