首页|基于模糊PID控制的粉碎机转速和位置自适应控制研究

基于模糊PID控制的粉碎机转速和位置自适应控制研究

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为提高粉碎机的控制性能,提出一种基于模糊PID控制的粉碎机转速和位置自适应控制算法.方法以粉碎机STM86 步进电机控制为研究对象,构建粉碎机驱动电机数学模型,并结合 PID控制和模糊控制设计基于模糊PID控制算法,以实现粉碎机的自适应控制.结果表明,模糊PID控制算法对粉碎机速度和位置控制的超调量分别为 4.20%和 0.13%,调节时间分别为 0.21s和 0.02 s、平均跟随误差分别为 0.02mm和 0.01 r/min;相较于PID控制、模糊滑模控制、模糊自抗干扰控制算法,模糊PID控制算法具有更低的超调量,更短的调节时间和更小的平均跟随误差.由此得出,模糊 PID 控制方法可实现更优异的粉碎机自适应控制,且具有一定的实际应用价值.
Research on adaptive control of crusher speed and position based on fuzzy PID control
In order to improve the control performance of the crusher,a fuzzy PID control based adaptive control algorithm for the speed and position of the crusher is proposed.The method takes the STM86 stepper motor control of the crusher as the re-search object,constructs a mathematical model of the crusher drive motor,and combines PID control and fuzzy control to design a fuzzy PID control algorithm to achieve adaptive control of the crusher.The results show that the overshoot of the fuzzy PID control algorithm for the speed and position control of the crusher is 4.20%and 0.13%,with adjustment times of 0.21 s and 0.02 s,and average following errors of 0.02 mm and 0.01 r/min,respectively.Compared with PID control,fuzzy sliding mode control,and fuzzy self anti-interference control algorithms,fuzzy PID control algorithm has lower overshoot,shorter adjustment time,and smaller average following error.From this,it can be concluded that this fuzzy PID control method can achieve better a-daptive control of the crusher and has certain practical application value.

adaptive controlcrusherfuzzy controlPID controlspeed loop controlposition control

王鹏涛

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西安思源学院工学院,陕西 西安 710038

自适应控制 粉碎机 模糊控制 PID控制 速度环控制 位置控制

2024

粮食与饲料工业
国家粮食储备局 武汉科学研究设计院

粮食与饲料工业

CSTPCD
影响因子:0.513
ISSN:1003-6202
年,卷(期):2024.(3)
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