B.Tech IV Year I Semester (R16)
Introduction: Use of Adaptive control - definitions - essential aspects – classification - Model Reference Adaptive Systems - different configurations - classification - mathematical description - Equivalent representation as a nonlinear time varying system - direct and indirect MRAC.
Continuous time MRAC systems: Model Reference Adaptive System Design based on Gradient method, Design of stable adaptive controllers based on Kalman - Meyer - Yakubovich Lemma, Lyapunov theory, Hyper stability theory - Narendra’s error model approach. Discrete time MRAC systems - Hyper stability approach - Narendra’s error model approach - Introduction - stability theorem - Relation to other algorithms - hybrid adaptive control.
Self Tuning Regulators (STR): Different approaches to self tuning - Recursive parameter estimation - implicit STR - Explicit STR. hybrid STR, hybrid predictor design and algorithms. STR design based on pole - placement technique and LQG theory - Gain scheduling. - Stability of adaptive control algorithms.
Adaptive control of nonlinear systems: Adaptive predictive control - Robustness of adaptive control systems - Instability phenomena in adaptive systems. Concept of learning control systems. Different types of learning control schemes. LTI learning control via parameter estimation schemes. Convergence of learning control. Fuzzy logic adaptive control, stochastic adaptive control –multi decision problems-dual control.
Case Studies: Robotic manipulators, Aerodynamic curve identification, Electric drives, Satellite altitude control, regulators, power system, and electrical generator.
Loading Question Papers
Fetching data from database...