MG University S7 Electrical and Electronics (EEE) B.Tech Syllabus
Module 1
Compensation and design of Control Systems: cascade compensation – lag, lead and lag-lead compensators – frequency domain methods – Bode plot method – Root-locus methods
Compensation and design of Control Systems: cascade compensation – lag, lead and lag-lead compensators – frequency domain methods – Bode plot method – Root-locus methods
Module 2
Digital Control Systems: the process of sampling – sample and hold circuits – Review of z transforms and its properties – solving difference equation by z transform methods – inverse z transform – the pulse transfer function – response between sampling instants – system characteristic equation – Jury’s stability test.
Digital Control Systems: the process of sampling – sample and hold circuits – Review of z transforms and its properties – solving difference equation by z transform methods – inverse z transform – the pulse transfer function – response between sampling instants – system characteristic equation – Jury’s stability test.
Module 3
Non-Linear Control Systems: Common physical non linearities – the phase plane method – basic concepts – describing functions of saturation, dead zone non linearities – stability analysis using describing functions.
Non-Linear Control Systems: Common physical non linearities – the phase plane method – basic concepts – describing functions of saturation, dead zone non linearities – stability analysis using describing functions.
Module 4
State Variable Approach: state space representation – block diagram representation of linear system in state variable form – non uniqueness of the set of state variables – Eigen values of an n X n matrix – eigen vectors – transfer function – solution of homogeneous state equation – state transition matrix.
State Variable Approach: state space representation – block diagram representation of linear system in state variable form – non uniqueness of the set of state variables – Eigen values of an n X n matrix – eigen vectors – transfer function – solution of homogeneous state equation – state transition matrix.
Module 5
State equations from transfer function – decomposition of transfer function – controllability and observability – pole placement compensation – state variable approach to discrete data system – vector matrix difference equation – solution of the general linear time invariant systems – vector matrix difference equation
State equations from transfer function – decomposition of transfer function – controllability and observability – pole placement compensation – state variable approach to discrete data system – vector matrix difference equation – solution of the general linear time invariant systems – vector matrix difference equation
References
1. Modern Control Engineering – Katsuhiko Ogatta, Pearson Education Asia/PHI
2. Modern Control Systems –Dorf and Bishop, Pearson Education Asia
3. Analog and digital Control System Design – Chi Tsong Chen, Oxford University Press
4. Discrete Time Control of Dynamic Systems – Katsuhiko Ogatta, Pearson Education Asia
5. Digital Control of Dynamic Systems – G.F Franklin, J. David Powell and Michael Workman, Pearson Education Asia
2. Modern Control Systems –Dorf and Bishop, Pearson Education Asia
3. Analog and digital Control System Design – Chi Tsong Chen, Oxford University Press
4. Discrete Time Control of Dynamic Systems – Katsuhiko Ogatta, Pearson Education Asia
5. Digital Control of Dynamic Systems – G.F Franklin, J. David Powell and Michael Workman, Pearson Education Asia