The Simulation Research For FNN Controller Based On Switching

The combination of fuzzy and ANN control as soft computing has gained widely concern in recent years. A superior feature of fuzzy control is the improvement of the transient characteristic of control performance and control with excellent robustness can be easily realized. However, a sole controller of fuzzy algorithm is hard to attain satisfactory accuracy in the steady state. Therefore, a hybrid controller of paralleled FNN is designed with fuzzy and FRNC served as subcontrollers. The fuzzy switching is used to synthesise the two algorithms to form a feasible method for uncertain system control.Moreover, smooth control during switching is guaranteed by executing the change using fuzzy inference. The concept of fuzzy switching membership function is introduced to complete the new switching method. Fuzzy variables of error and error change are used as the switching criterion instead of the accurate value. The new switching method avoided the bottleneck of forcing two controller outputs equal to each other at the switching point, and therefore a more smooth and robust control effect is obtained.Simulation is performed to the DC motor, which is widely used in the industry. The result demonstrated that the algorithm proposed could yield satisfactory response to sharp reference signal step change and the algorithm is both feasible and effective.