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Design of Model Reference Adaptive Sliding Mode Tracking Controllers for Systems with Unstructured UncertaintiesLin, Yu-ching 09 April 2007 (has links)
In this thesis a model reference adaptive sliding mode control scheme is proposed for a class of linear time-invariant MIMO systems with unstructured and
input, output uncertainties to solve the robust tracking problems. The designing
of the proposed control scheme is divided into three steps. The first step is to
design the sliding functions, the second step is to construct the estimators of the
lumped perturbation. These estimators are able to estimate the derivatives of the
tracking errors. The third step is to design the adaptive sliding mode controller.
The proposed control scheme is designed without requiring the information of
the upper bound of perturbations, and guarantee the stability of the controlled
system. In fact the asymptotical stability can be achieved for some special cases.
Finally, three numerical examples are presented to demonstrate the feasibility of
the proposed control scheme.
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