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针对PID(proportional-integral-derivative)整定方法存在模型辨识困难、调节时间长、临界稳定点难以确定等问题,提出一种基于案例推理(case-based reasoning,CBR)的PID控制器参数认知整定方法(cognitive tuning based on case-based reasoning,CTCBR).设计具有动态学习功能的案例推理模型新结构,借鉴多属性决策思想改进案例检索策略,并运用多目标评价准则对参数整定后的预期效果进行评价,从而得到一种具有自学习能力的PID参数认知整定方法.与典型方法对比,该方法能够获得更好的控制性能,同时也能提高PID控制器系统的适应性和整定成功率.
In view of the difficulty of model identification, the long adjustment time and the difficulty of determining the critical stability point for the PID (PID) tuning method, a parameter-based tuning of PID controller based on case-based reasoning (CBR) (CTCBR) .A new case-based reasoning model with dynamic learning function is designed, the case retrieval strategy is improved by using multi-attribute decision-making theory, and the expected effect after parameter tuning is implemented by using multi-objective evaluation criteria Then a self-learning PID parameter cognitive tuning method is obtained.Compared with the typical method, this method can get better control performance and improve the adaptability of PID controller system and set the success rate.