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BLDC motor speed servo system based on novel P-fuzzy self-adaptive PID control

机译:基于新型P-Fuzzy自适应PID控制的BLDC电机速度伺服系统

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Based on the mathematical model of BLDC motor, a novel P-fuzzy self-adaptive PID intelligent method is proposed for controlling the speed servo system. In the BLDC motor speed control system, the current hysteresis is implemented in the current loop, in the speed loop the P and fuzzy self-adaptive PID hybrid control scheme is applied. Organically combined the blocks, a test was performed on a timing system of double close loops with current hysteresis and speed fuzzy control. Simulation result indicated that the improved accuracy of control system, half-shortened response time, minished overshoot, fine robustness and self-adapting are obviously shown to outperform the ordinary proportional-integral,differential (PID) control. The validity of the model was verified and thus a new way was provided for further research of the motor.
机译:基于BLDC电机的数学模型,提出了一种用于控制速度伺服系统的新型P-Fuzzy自适应PID智能方法。在BLDC电动机速度控制系统中,电流滞后在电流回路中实现,在速度环中应用P和模糊自适应PID混合控制方案。有机组合块,对具有电流滞后和速度模糊控制的双闭环的定时系统进行测试。仿真结果表明,显着提高了控制系统的精度,半缩短的响应时间,咀嚼的过冲,细固稳健性和自适应,以优于普通比例积分,差分(PID)控制。验证了模型的有效性,因此提供了一种新的方式,用于进一步研究电机。

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