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A fuzzy control technique is applied to a functional neuromuscular stimulation (FNS) physical multiarticular muscle control system. The FNS multiarticular muscle control system based on the fuzzy controller was developed with the fuzzy control rule base. Simulation experiments were then conducted for the joint angle trajectories of both the elbow flexion and the wrist flexion using the proposed fuzzy control algorithm and a conventional PID control algorithm with the FNS physical multiarticular muscle control system. The simulation results demonstrated that the proposed fuzzy control method is more suitable for the physiological characteristics than conventional PID control. In particular, both the trajectory following and the stability of the FNS multiarticular muscle control system were greatly improved. Furthermore, the stimulating pulse trains generated by the fuzzy controller were stable and smooth.
A fuzzy control technique is applied to a functional neuromuscular stimulation system (FNS) physical multiarticular muscle control system. The FNS multiarticular muscle control system based on the fuzzy controller was developed with the fuzzy control rule base. of both elbow flexion and the wrist flexion using the proposed fuzzy control algorithm and a conventional PID control algorithm with the FNS physical multiarticular muscle control system. The simulation results of that proposed fuzzy control method is more suitable for the physiological characteristics than conventional PID In particular, both the trajectory following and the stability of the FNS multiarticular muscle control system were greatly improved.