{"id":569,"date":"2021-09-02T18:56:05","date_gmt":"2021-09-02T18:56:05","guid":{"rendered":"https:\/\/itgeeks.in\/home\/?p=569"},"modified":"2021-09-02T18:56:06","modified_gmt":"2021-09-02T18:56:06","slug":"2k6-ee-703-control-systems-ii","status":"publish","type":"post","link":"https:\/\/itgeeks.in\/home\/?p=569","title":{"rendered":"2K6 EE 703 : CONTROL SYSTEMS II"},"content":{"rendered":"\n

Module I (14hours)<\/strong>
State-space analysis of systems \u2013 Concept of state-state space and state variables-advantages over transfer function approach-state equations for typical electrical, mechanical and electromechanical systemsrepresentation for linear time-varying and time-invariant systems- Phase variable and canonical formsdiagonalization- transfer function and state equations-matrix exponential- solution by state transition matrixtransfer function decomposition-Discrete-time state models-solution of discrete-time state equation-z transform decomposition.
Module II (10hours)<\/strong>
Design using conventional methods – Cascade compensation – PI, PD and PID control – lead and lag compensation using RC networks – design of lead, lag and lead-lag compensators using frequency response and root locus methods.
Module III (12 hours)<\/strong>
Non-linear systems – characteristics of non-linear systems – types of nonlinearities -phase plane analysis – construction \u2013isocline method and delta method- singular points – classification of singular points. Describing function analysis – definition – describing functions of common non-linearities \u2013ideal relay,dead zone, saturation, combined dead zone and saturation-relay with hysteresis- stability analysis using DF – amplitude and frequency of limit cycle using DF.
Module IV (16 hours)<\/strong>
Liapunov methods \u2013 Sign definiteness of a function, Sylvester\u2019s criteria-stability in the sense of Liapunov – definition of stability, asymptotic stability and instability \u2013Liapunov\u2019s second method – Liapunov stability analysis of LTIV continuous time and discrete time systems. Controllability, observability and introduction to optimal control – concept and criteria for controllability and observability – state feed back – design via pole placement – formulation of the optimal control problem – performance measure – optimal control using second method of Liapunov – the quadratic regulator problem – solution of the reduced matrix Riccati equation<\/p>\n\n\n\n

Reference books
1.Ogata K., Modern Control Engineering, Prentice Hall<\/a>
2.Nagarath & Gopal, Control System Engineering, Wiley Eastern<\/a>
3.Kuo B.C., Automatic Control Systems, Prentice Hall<\/a>
4.Ogata K., Discrete-Time Control Systems, Prentice Hall<\/a>
5.Donald E. Kirk, Optimal Control Theory, Prentice Hall<\/a><\/p>\n\n\n\n

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Question Papers<\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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