دانلود کتاب کنترل تطبیقی هیبریدی L1 – کاربردهای مدل سازی فازی، بهینه سازی تصادفی و فراابتکاری

Conventional control methodologies, viz., Proportional Integral Derivative (PID) controller, Linear Quadratic Regulator (LQR), etc., can control Linear Time Invariant (LTI) systems.Though, their performances degrade when nonlinearities, time varying uncertainties, time varying disturbances, delays, etc., present into the system. Adaptive controllers arise to tackle time varying uncertainties and disturbances. The most extensively used adaptive control scheme, viz.,Model Reference AdaptiveController (MRAC) utilizes low adaptation gain to maintain robustness. Hence, MRAC possess sluggish transient performance.With the aim to overcome such problem, L1 adaptive controller was introduced to provide fast transient performance with high robustness. However, the performance of basic L1 adaptive controller degrades when nonlinearities, delays, etc., are present in the system. On the other hand, nonlinearities can be properly modelled through universal approximator fuzzy logic. Moreover, the parameters of the controllers can be chosen by employing different stochastic optimization and metaheuristics techniques to assure optimal performance. A number of controller designing schemes can be hybridized to control practical systems consist of nonlinearities, time varying uncertainties, disturbances, cross-couplings, unmodelled dynamics, delays, etc., simultaneously. This book deals with the designing of hybrid control strategies to control practical systems containing time varying uncertainties, disturbances, nonlinearities, unknown parameters, unmodelled dynamics, delays, etc., concurrently. In this book, the advantages of different controllers are brought together to produce superior control performance for the practical systems. Being aware of the advantages of adaptive controller to tackle unknownconstant, time varying uncertainties and time varying disturbances, a newly invented adaptive controller, namely L1 adaptive controller is hybridized with other strategies. The parameters of L1 adaptive controller should be chosen sensibly to maintain proper balance between good transient performance and high robustness.