Servo Control For Systems Research Articles

Fuzzy Model-based Servo Control for Discrete-Time Nonlinear Systems with Constraints

AbstractThis paper presents servo control for discrete-time nonlinear systems with constraints on inputs and states using the fuzzy model-based control approach. Firstly, the nonlinear error system is constructed based on error vector between state and the target point by utilizing the input difference between current input and cancellation input. Secondly, the error system is exactly converted into a Takagi-Sugeno fuzzy model utilizing sector nonlinearity approach. Finally, the fuzzy servo controller is designed by simultaneously solving servo controller design condition and the constraint conditions on inputs and states. The design conditions are given in the form of LMI. Servo control with constraints on inputs and states is achieved by the designed servo controller. Design examples illustrate the utility of this approach.