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基于模糊策略的液压系统油温自适应PID控制

发布时间:2018-10-09 17:41
【摘要】:研究了液压系统的油温控制。考虑到液压系统油温具有大滞后、非线性、时变性特点,传统的PID控制难以取得满意的控制效果,提出了一种基于模糊策略的自适应PID控制方法。该方法采用模糊推理实现PID控制器参数的在线自寻优,根据PID参数对输出响应的影响实现不同工况下PID参数的最佳匹配。通过Matlab/Simulink软件进行了传统PID控制和基于模糊策略的PID控制的仿真比较,结果表明,基于模糊策略的PID控制方法在调节速度、超调量及稳定性方面均有良好的表现。将该方法用于JM128MK型注塑机液压系统的实验,已验证了该方法的有效性和合理性。
[Abstract]:The oil temperature control of hydraulic system is studied. Considering that the oil temperature of hydraulic system has the characteristics of large lag, nonlinear and time-varying, it is difficult to obtain satisfactory control effect by traditional PID control. An adaptive PID control method based on fuzzy strategy is proposed. In this method, fuzzy reasoning is used to realize on-line self-optimization of PID controller parameters, and the optimal matching of PID parameters under different conditions is realized according to the effect of PID parameters on output response. The simulation of traditional PID control and PID control based on fuzzy strategy is carried out by Matlab/Simulink software. The results show that the PID control method based on fuzzy strategy has good performance in adjusting speed, overshoot and stability. The method has been applied to the hydraulic system of JM128MK injection molding machine, and the validity and rationality of the method have been verified.
【作者单位】: 台州职业技术学院自动化研究所;嘉兴职业技术学院机电与汽车分院;
【基金】:浙江省科技厅公益技术研究工业项目(2014C31029) 浙江省自然科学基金(LY14E050001)资助项目
【分类号】:TH137;TP273


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