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为了改善无刷直流电机(BLDCM)的调速性能,研究了基于变论域思想的自适应模糊PID控制器及其在BLDCM控制系统中的应用,变论域自适应模糊控制对模型无精确要求、速度快、精度高、鲁棒性好、适应性强。详细分析了BLDCM电机模型的建立、控制结构设计、伸缩因子的选择等,给出了具体的控制算法设计,并在Matlab仿真平台下,构建了BLDCM的电流、转速双闭环控制的仿真系统,其中,转速环采用了变论域自适应模糊PID控制器。仿真结果表明,与常规PID控制和普通模糊PID控制相比,采用变论域自适应模糊PID控制时,转速输出无超调,响应速度快,转矩脉动小,控制精度高,为无刷直流电机在军事、办公设备、家电等需要快速、高精度控制、抗扰能力强的场合的应用提供了一种有效的解决方案。
In order to improve the performance of BLDCM, the adaptive fuzzy PID controller based on the idea of variable universe and its application in BLDCM are studied. The variable universe adaptive fuzzy control has no exact requirement on the model , Fast, high precision, good robustness and adaptability. The establishment of the BLDCM motor model, the design of the control structure and the selection of the scaling factor are analyzed in detail. The design of the control algorithm is given in detail. The simulation system of BLDCM current and speed double closed-loop control is constructed under the Matlab simulation platform, in which , Speed loop using a variable universe adaptive fuzzy PID controller. The simulation results show that compared with the conventional PID control and ordinary fuzzy PID control, when the variable-domain adaptive fuzzy PID control is adopted, the speed output has no overshoot, fast response, small torque ripple and high control precision, Motor in the military, office equipment, home appliances and other needs of fast, high precision control, anti-interference ability of the occasion to provide an effective solution to the problem.