Design Of T-S Fuzzy Controller With Multivariate Fusion

T-S fuzzy controller is a typical fuzzy controller,which can effectively solve the problem that the traditional system controller is difficult to solve,such as non-linearity,robustness and high order of the controlled system.At the same time,it also has exist problem.For example,in the case of multivariable controlled system control,because the explosion of fuzzy rules makes the control of the fuzzy control system inefficient and broken.The subject puts forward that the T-S fuzzy controller based on multivariate fusion function,which can improve the working efficiency of multivariate T-S fuzzy control system.Double inverted pendulum is a kind of traditional multivariable,instability and nonlinear system.The subject uses the trial and error method and the basic genetic algorithm to design the linear feedback controller and the fusion function based on T-S Fuzzy control system.Finally,the corresponding T-S fuzzy controller based on fusion function is designed by using improved genetic algorithm to solve the problems of instability and follow-up in the control process of multivariable controlled system.The subject takes double inverted pendulum as the discussion object.First of all,the linear feedback controller of double inverted pendulum was designed.With the pole placement method,the new pole of the system is configured to design the corresponding linear feedback controller to realize the stable control of the whole control system.The linear feedback controller was designed,that is,the pole of the control system configuration,using trial and error method and basic genetic algorithm two ways to achieve.Secondly,using the variable fusion theory to multivariate fusion,and using the parallel distribution compensation(PDC)and pole placement method to design the T-S fuzzy controller based on variable fusion was used to improve the control efficiency of the double inverted pendulum.Variable fusion function under linear feedback was achieved,and PDC and basic genetic algorithm was used to complete the T-S fuzzy controller each rule corresponding to the pole configuration.Finally,the genetic algorithm was improved,the population operator and the optimal retention strategy were added,and fixed chromosomes are used to improve the algorithm efficiency and the dynamic performance of the T-S fuzzy controller.The subject used MATLAB to realize the stable control of double inverted pendulum.The simulation shows that compared with the linear feedback controller,the T-S fuzzy controller based on variable fusion can make the inverted pendulum angle smaller and overshoot smaller,and improve the system dynamic performance;the improved genetic algorithm proposed in this paper can further improved the efficiency of T-S fuzzy controller.