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作 者:苟晓玲 徐恺[1,2] 陆鹏超 孙梦瑶 GOU Xiaoling;XU Kai;LU Pengchao;SUN Mengyao(Mechanical&Electrical Engineering School,Henan University of Science&Technology,Luoyang 471003,China;Machinery and Equipment Advanced Manufacturing Cooperative Innovation Center of Henan Province,Henan University of Science&Technology,Luoyang 471003,China;Dongguan Supersonic Technology Company Limited,Dongguan 523000,China)
机构地区:[1]河南科技大学机电工程学院,河南洛阳471003 [2]河南科技大学机械装备先进制造河南省协同创新中心,河南洛阳471003 [3]东莞优超精密技术有限公司,广东东莞523000
出 处:《河南科技大学学报(自然科学版)》2021年第1期12-19,I0002,共9页Journal of Henan University of Science And Technology:Natural Science
基 金:国家自然科学基金项目(51375144,51205108);河南科技大学大学生训练计划SRTP(2020017)。
摘 要:为了解决超声换能器在变负载情况下振幅不稳定而影响超声焊接质量的问题,在单神经元比例积分微分(PID)控制器的基础上,提出了改进型单神经元模糊自适应PID恒振幅控制算法。该算法以电流的偏差和偏差率为输入制定模糊控制规则,通过在线调整PID控制器3个参数的学习率ηp、ηi和ηd,进而自适应地调整PID控制器的3个系数k p、k i和k d。研究结果表明:在给定阶跃电流信号下,改进型的单神经元模糊自适应PID恒振幅控制算法相比于典型的PID控制算法,电流响应的稳态误差由2.50%降至0.13%,而相比于单神经元自适应PID控制算法,电流响应的调节时间则由2.5 ms缩短至1.7 ms。在给定阶跃负载信号下,改进型的单神经元模糊自适应PID控制器能在0.22 ms内恢复到给定电流(0.4±0.25%)A,极大地降低了负载的干扰。In order to solve the problem of ultrasonic welding quality affected by the amplitude instability of ultrasonic transducer under variable load,an improved fuzzy single neuron adaptive proportional differential integral(PID)constant amplitude control algorithm was proposed.Fuzzy control rules were formulated with current deviation and deviation rate as input.The learning rate of the three parameters(η_p,η_i,η_d)of the PID controller was adjusted online by the rules,and then the three coefficients(k_p,k_i,k_d)of the PID controller were adjusted adaptively.The research results show that under the step current signal,the steady-state error of current response is decreased from 2.5%to 0.13%by comparing the improved fuzzy single neuron adaptive PID constant amplitude control algorithm with the classic PID control algorithm.The adjustment time of the current response is reduced from 2.5 ms to 1.7 ms by comparing the improved fuzzy single neuron adaptive PID constant amplitude control algorithm with the single neuron adaptive PID control algorithm.Under the step load signal,the current is restored to±0.25%of the given current 0.4 A within 0.22 ms by the improved single neuron fuzzy adaptive PID controller,which greatly reduces the load interference.
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