Improved fuzzy PID controller design using predictive functional control structure

Yuzhong Wang; Qibing Jin; Ridong Zhang

doi:10.1016/j.isatra.2017.09.005

Improved fuzzy PID controller design using predictive functional control structure

ISA Trans. 2017 Nov;71(Pt 2):354-363. doi: 10.1016/j.isatra.2017.09.005. Epub 2017 Sep 14.

Authors

Yuzhong Wang¹, Qibing Jin², Ridong Zhang³

Affiliations

¹ Key Lab for IOT and Information Fusion Technology of Zhejiang, Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China.
² Institute of Automation, Beijing University of Chemical Technology, Beijing 100029, PR China.
³ Key Lab for IOT and Information Fusion Technology of Zhejiang, Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China. Electronic address: zrd-el@163.com.

PMID: 28918061
DOI: 10.1016/j.isatra.2017.09.005

Abstract

In conventional PID scheme, the ensemble control performance may be unsatisfactory due to limited degrees of freedom under various kinds of uncertainty. To overcome this disadvantage, a novel PID control method that inherits the advantages of fuzzy PID control and the predictive functional control (PFC) is presented and further verified on the temperature model of a coke furnace. Based on the framework of PFC, the prediction of the future process behavior is first obtained using the current process input signal. Then, the fuzzy PID control based on the multi-step prediction is introduced to acquire the optimal control law. Finally, the case study on a temperature model of a coke furnace shows the effectiveness of the fuzzy PID control scheme when compared with conventional PID control and fuzzy self-adaptive PID control.

Keywords: Fuzzy control; PID control; Predictive functional control; Temperature regulation.