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Design of the main controller using fuzzy logic theory on the basis of the traditional PID control, Using the fuzzy mathematics theory, the use of fuzzy sets to represent the regular condition, and the fuzzy control rules and the relevant information in the control system in the knowledge base as a knowledge, According to the actual response of control object, control system using fuzzy reasoning, to complete the optimal adjustment of PID parameters. Introduction Brushless DC Motor(BLDCM) has excellent speed regulating performance, and overcame many problems that brought by the Brush DC Motor(BDCM) mechanical commutator , won a wide application in all fields. However, the time-varying, nonlinear and strong coupling features of Brushless DC Motor leads to the traditional PID control is difficult to meet the performance requirements of control system[1]. Control quality of traditional PID controller depends on the parameter setting, system under various running status always use the same set of parameters obviously lead to bad operation. The structure of BLDCM control system The hardware part of this control system is mainly composed of storage battery and inverter circuit, switch tube driving and protecting circuit, power circuit, system control unit and its peripheral circuit, current and voltage signal detection circuit, etc. Using three-phase bridge inverter circuit as a power main circuit, power supply using storage battery; Use of Motorola Company DSP56F803 control unit; Armature winding Y, 3 phase 8 pole; Choose Fuji 1MBH60-100 IGBT switch tube, Drive protection module of IGBT using EXB841. Battery, power inverter circuit and the circuit of BLDCM connection as shown in figure 1. Y type armature winding connection, use of voltage type three-phase full bridge inverter circuit as the power inverter circuit. Power conversion section

The realization of automatically adjusting the adaptive PID parameters based on the theory of fuzzy mathematics