4.7 Article

Improved fuzzy PID controller design using predictive functional control structure

期刊

ISA TRANSACTIONS
卷 71, 期 -, 页码 354-363

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2017.09.005

关键词

Predictive functional control; Fuzzy control; PID control; Temperature regulation

资金

  1. Zhejiang Provincial Natural Science Foundation of China [LR16F030004]

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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. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.

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