基于模糊策略的液压系统油温自适应PID控制

Fuzzy strategy-based adaptive PID control of the oil temperature of hydraulic systems

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。

A study on oil temperature control for hydraulic systems was carried out. Considering that the conventional PID control can not achieve the ideal control effect due to the lag, nonlinear and time-varying characteristics of the oil temperature of hydraulic systems, a fuzzy strategy-based adaptive PID control method was proposed. The method uses fuzzy reasoning to realize PID parameters＇ online self-optimizing, and achieves PID parameters＇ best match under different conditions according to the influence of PID parameters on the output responses. The performance comparison between the traditional PID control and the proposed fuzzy strategy based PID control was conducted by the simulation using the Matlab/＇Simulink software, and the results showed that the proposed control method per- formed better in speed adjusting, overshoot and stability. The proposed method＇ s effectiveness and rationality were proved by its experiment on the hydraulic system of a JM128MK type injection molding machine.