Design of Type-2 Fuzzy Controller based on LQR Mapped Fusion Function
Abhishek Kumar, Sudeep Sharma, Rudrajit Mitra · International Journal of Intelligent Systems and Applications · 2012
Rule nu mber explosion‖ in fu zzy controller and -uncertainty‖ in the model are two main issues in the design of fuzzy control systems.To overcome these problems, we have applied a method in which a linear sensory fusion function has been used to reduce the number of dimensions of fuzzy controller's inputs and simu ltaneously use the features of LQR control.Since, in type-2 fu zzy control, the degree of fu zziness increased and it can better handle the uncertainty in the model co mpared to conventional fuzzy, so the method of sensory fusion with type-2 fu zzy control scheme has been combined to make the controller more robust w.r.t. the parameter variation, perturbation and uncertainty in the model.Performance criteria like IA E, ISE and ITAE have been used to compare the control performance obtained from conventional fuzzy and type-2 fuzzy controller.