Module 1
Introduction to control system – Basic idea of control systems and their classifications – transfer function – transfer function of electrical, mechanical and electromechanical system – block diagram – signal flow graph – Mason’s gain formula.
Introduction to control system – Basic idea of control systems and their classifications – transfer function – transfer function of electrical, mechanical and electromechanical system – block diagram – signal flow graph – Mason’s gain formula.
Module 2
Time domain Analysis – Type and order of a system – typical test signals for the time response of control system – impulse and step response of first and second order systems – steady state error – static and dynamic error coefficients – concepts of stability – Routh Hurwitz criterion – basic ideas of proportional, derivative and integral controllers.
Time domain Analysis – Type and order of a system – typical test signals for the time response of control system – impulse and step response of first and second order systems – steady state error – static and dynamic error coefficients – concepts of stability – Routh Hurwitz criterion – basic ideas of proportional, derivative and integral controllers.
Module 3
Frequency domain analysis – frequency response – frequency domain specifications – Bode Plot – Nicol’s chart – Nyquist stability criterion – relative stability – gain margin – phase margin.
Frequency domain analysis – frequency response – frequency domain specifications – Bode Plot – Nicol’s chart – Nyquist stability criterion – relative stability – gain margin – phase margin.
Module 4
Root Locus technique – basic theory and properties of root loci – procedure for construction of root loci – error detectors – servo motor – tacho generator – magnetic amplifier.
Root Locus technique – basic theory and properties of root loci – procedure for construction of root loci – error detectors – servo motor – tacho generator – magnetic amplifier.
Module 5
State variable analysis and compensation techniques – introduction to state variable concepts – state variable description of linear dynamic systems – state equations – state transition matrix – representaion of state equations – lag compensator – lead compensator – lag lead compensator (design of compensators is not needed).
State variable analysis and compensation techniques – introduction to state variable concepts – state variable description of linear dynamic systems – state equations – state transition matrix – representaion of state equations – lag compensator – lead compensator – lag lead compensator (design of compensators is not needed).
mgu university b.tech syllabus electronics
References
1. Modern control engineering – Katsuhiko Ogata, Pearson Edn
2. Control systems principles and design: M. Gopal, TMH.
3. Automatic control system – B.C. Kuo, PHI.
4. Control system design: Graham C Goodwin, PHI.
5. Modern Control Systems: Dorf, Pearson Education.
2. Control systems principles and design: M. Gopal, TMH.
3. Automatic control system – B.C. Kuo, PHI.
4. Control system design: Graham C Goodwin, PHI.
5. Modern Control Systems: Dorf, Pearson Education.