A FUZZY CELL MAPPING METHOD FOR A SUBOPTIMAL CONTROL IMPLEMENTATION

This paper presents a,fuzzy cell-to-cell mapping method for implementi ng a sub-optimal control law. The method preserves the simplicity and flexibility properties of the original cell mapping technique, but it relaxes the requirement on the number of cells. Since the new method g enerates smooth control efforts, it does not create the chattering phe nomena. Furthermore, the new method eliminates the problem of steady-s tate error accumulation caused by the inexact state description. Exper imental studies on the control of a DC servo motor show that finer gri d sizes achieve trajectories that are closer to the analytical solutio n. Different loadings were also tried on the motor to demonstrate the robustness of the method.