基于模糊PID控制的粉碎机转速和位置自适应控制研究  

Research on adaptive control of crusher speed and position based on fuzzy PID control

作　　者：王鹏涛[1] WANG Peng-tao(School of Engineering,Xi'an Siyuan University,Xi'an 710038,China)

机构地区：[1]西安思源学院工学院,陕西西安710038

出　　处：《粮食与饲料工业》2024年第3期30-35,共6页Cereal & Feed Industry

摘　　要：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0.21 s和0.02 s、平均跟随误差分别为0.02 mm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。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 research 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 adaptive control of the crusher and has certain practical application value.

关 键 词：自适应控制 粉碎机 模糊控制 PID控制 速度环控制 位置控制 

分 类 号：S817.12[农业科学—畜牧学]