A Nonlinear Controller Design Based on the Interpolation Chart

Fuzzy controller has been extensively applied to many engine systems, and has been attracting much attention in the control community. The stability analysis of fuzzy system may be equivalent to "multidimensional-multipolar relay" model conditionally, but this method is very complex and is subject to many restrict. The stability analysis method based on language fuzzy control system is not ripe theoretically. Lyapunov stability theory provides convenient determinant method for nonlinear controller; how to apply this method to typical nonlinear controller is still a research hotspot. This note presents a kind of nonlinear controller design approach based on the interpolation chart. The nonlinear controller designed in the note can approximate many complicated nonlinear controllers, and obtain the same control effect. An example of flight control system rudder-control is introduced to illustrate the practicability of the proposed method. Comparing to fuzzy controller, we show that the design course of the proposed approach is simpler and is easy to realize, in addition it can be adjusted flexibly. The stability analysis of the proposed method is given based on Lyapunov stability theory