The research of parallel structure and composite fuzzy control for linear machine based on Mamdani method

According to the serious nonlinearity and highly coupling of variables in linear machine, which can contribute to the unsatisfactory control effect, therefore, one kind of parallel structure and composite fuzzy controller is proposed. Firstly, the velocity to voltage mathematical model was established. Secondly, through Ziger-Nichlol method mixed with manual fine-tune method, three parameters of PID controller could be accessed based on the model. Finally, the fuzzy controller was designed: the subordinate function of the input variables adopt gauss form; and fuzzy deduction manner of Mamdani method; the subordinate function of the output variables adopt triangular form. After above work, the MATLAB simulation was performed. The simulation indicates that this parallel structure and composite fuzzy controller has better control effect than the traditional PID controller, and the maximum overshoot decreases from 9.6% to 0%, the regulation time ranges from 1.23 seconds to 0.95 seconds, verifying that this fuzzy controller has positive feasibility.