RTD-A控制器参数性能分析及在线模糊自整定

Performance Analysis and Online Fuzzy Self-Tuning of RTD-A Controller's Parameters

为了减少RTD-A控制器的参数调节难度,增强其实用性,分析了RTD-A控制器中需要整定的4个参数,即系统鲁棒性θR、设定值跟踪θT、干扰抑制θD和全局收敛性θA对系统性能的影响.结果表明:当θT和θA在一定范围内取定值时,对系统控制结果不会产生明显的影响;而θR和θD的整定则能够改善系统模型失配和未知扰动等问题.为此,提出了一种基于模糊逻辑的控制器参数θR和θD的在线自整定方法.该方法首先建立了控制器参数的模糊控制规则,然后,根据模糊控制规则进行模糊推理,实现了参数θR和θD的在线模糊自整定.仿真实验结果表明,与手工设定参数方法相比,本文提出的参数在线模糊自整定方法能够简化参数的整定步骤,提高RTD-A控制器的性能.

To reduce the difficulty of the RDT-A controller＇s parameters tuning and enhance its utility,the effect of its four parameters（θR,θT,θD,θA）on system performance was analyzed.The result shows that it has rare influence on the system performance when θA and θT are set value,and the model mismatch and disturbances are improved after tuning of θR and θD.On this basis,an online auto-tuning method based on fuzzy logic was proposed for the parameters of the RTD-A controller.Fuzzy control rules of controller parameters were firstly established in this method,and then fuzzy reasoning was carried out according to the fuzzy control rules,and parameters θD and θA of fuzzy self-turning online were implemented.The simulated results show that the controller＇s performance is evidently improved with the proposed parameter auto-tuning method,and compared with manual operation,the controller tuning is greatly simplified.