Real-time Experiments with Discrete Sliding-Mode Control Enhanced by AI components

The paper presents some experimental results of a real-time implementation of discrete sliding mode control combined with a fuzzy-logic damper block. The hybrid real-time algorithm developed is aimed at applications to discrete systems. The sliding mode part of the solution is based on system input and output measurements. The algorithm combines an integral action, a nonlinear output feedback, an adjustable sliding mode, and a fuzzy logic damping control block. Design of the sliding mode controller is based on the asymptotic reaching law method. The determination of the integral gain and the coefficients of the sliding mode hyper-plane are made by a pole assignment procedure. The paper presents both the simulation results and the results of laboratory real-time control experiments. The real-time control experiments are made with the motor speed control system using an DSP based hardware (TMS230C31/60 MHz). The results obtained demonstrate the robustness and superiority of the proposed solution in the motor speed control, as compared to the solution based on the optimally tuned PI controller.