Real Time Hinfinity Approach For Robust Optimal Control
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Real-time H[infinity] Approach for Robust Optimal Control
Author | : Tansel Yucelen |
Publisher | : |
Total Pages | : 101 |
Release | : 2008 |
Genre | : |
ISBN | : |
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This thesis reports new developments in the context of robust control theory to guarantee the stability despite perturbations in the models of linear time-invariant (LTI), multiple-input multiple-output (MIMO) dynamical systems, in continuous-time. Robustness for both system estimation and control design are considered in order to obtain a stable and effective control technique. The developments include: (1) A robust H [infinity] Kalman filter (RHKF) algorithm for parameter estimation of MIMO LTI systems, (2) a new modeling approach based on non-minimal state-space realization, in conjunction with an LMI-based model reduction strategy, to obtain reduced-order system models and to generate equivalent set of states for MIMO systems, (3) a new H [infinity] control law, using LMI approach, to guarantee robustness of the designed control against model uncertainty, (4) a constrained H [infinity] control technique, with Lyapunov-based pole assignment strategy, for robust output-feedback control of MIMO LTI systems, and (5) a novel multivariable continuous-time H [infinity] adaptive optimal control approach for robust control of unknown linear systems. Actual hardware experiments using a DSP have been carried out in order to verify the applicability and the performance of the proposed robust control techniques for active vibration and noise control systems.
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