A new fuzzy logic learning control scheme for repetitive trajectory tracking problems.
In this paper, the authors consider repeatable tracking control tasks using a new control approach-PD type fuzzy logic control (FLLC). FLLC integrates two main control strategies: fuzzy logic control as the basic conontrol part and learning control as the refinement part. The new FLLC is constructed by simply adding an iterative learning mechanism to a fuzzy PD controller. The incorporation of the learning function into fuzzy PD controllers ensures exact tracking because it completely nullifies the effects of reference signal and periodic disturbances on the tracking error. Through the rigorous proof based on energy function and functional analysis, the authors show that the proposed FLLC system achieves the following novel properties: (1) the tracking error sequence converges uniformly to zero; (2) learning control sequence converges to the desired control profile almost everywhere. Simulation work is presented to demonstrate the effectiveness of the proposed scheme.
scientific article; zbMATH DE number 1902822