Fuzzy rule-based set point weighting for fuzzy PID controller
Fuzzy rule-based set point weighting for fuzzy PID controller
复制标题
模糊 PID 控制器的基于模糊规则的设定点加权
DOI：
10.1007/s42452-021-04626-0
复制
发表时间：
2021
影响因子：
2.6
通讯作者：
R. Mudi
中科院分区：
文献类型：
--
作者：
P. Mitra;C. Dey;R. Mudi
本文的目的是设计一种基于模糊规则的模糊控制器设定值加权机制，以实现对线性和非线性过程模型的全面改善的闭环系统性能。到目前为止，对FPID控制器的调整标准还没有很好的定义。主要采用试错法，这种方法相当耗时，而且并不总是确保改善整体的闭环系统行为。为此，本文提出了一种基于模糊规则的设定值加权机制，以确保初始整定模糊控制器具有满意的闭环系统性能。所提出的方案能够根据最新的工艺操作条件，通过在线计算每个时刻的瞬时加权系数来提供性能改进。所提出的方法能够在设定点跟踪和负载恢复阶段确定可接受的性能。通过仿真研究和对伺服位置控制的实时验证，验证了该方案对线性和非线性过程模型的有效性，并与已报道的性能增强方案以及模糊滑模控制进行了比较。
The objective of this work is to design a fuzzy rule-based set point weighting mechanism for fuzzy PID (FPID) controller so that an overall improved closed-loop performance may be achieved for linear as well as nonlinear process models. Till date, tuning criteria for FPID controllers are not well defined. Trial-and-error approach is primarily adopted and it is quite time-consuming and does not always ensure improved overall closed-loop behaviour. Hence, to ascertain satisfactory closed-loop performance with an initially tuned fuzzy controller, a fuzzy rule-based set point weighting mechanism is reported here. The proposed scheme is capable of providing performance enhancement with instantaneous weighting factor calculated online for each instant based on the latest process operating conditions. The proposed methodology is capable of ascertaining acceptable performances during set point tracking as well as load recovery phases. Efficacy of the proposed scheme is verified for linear as well as nonlinear process models through simulation study along with real-time verification on servo position control in comparison with the others’ reported performance augmentation schemes as well as fuzzy sliding mode control.