Controller Design For T-S Fuzzy Systems With Partly Measurable Premise Variables

The fuzzy models of many engineering systems are often simultaneously with measurable and immeasurable premise variables.For the T-S fuzzy systems with immeasurable premise variables,the fuzzy weight functions are unaccessible on line,so that the partly measurable premise variables are not used in the existing methods.On the other hand,actuator saturation is a very common phenomenon in the control system.Normally,during the design of control systems,the control signal is assumed to be infinitely input to the Plant.However,actuators would have a limit of the input signal in practical control systems for various reasons.So,actuator saturation can lead to performance degradation and even make closed-loop system unstable.In order to achieve a better performance,the research about anti-windup has far-reaching significance.By using measurable premise variables of fuzzy models as the premise variables of fuzzy controllers,a new control scheme is proposed.Different from the existing ones,the measurable premise variables can directly be used in the fuzzy static output feedback control scheme,which is helpful for the larger domain of attraction and will lead to less conservative results.By using MATLAB LMI Toolbox to verify the effectiveness of these methods.The simulation results show that the proposed method can obtain better performance than the existing methods.