Research on Improved Auto-Tuning of a PID Controller Based on Phase Angle Margin

Deliang Zeng, Yanqiu Zheng, Wei Luo, Yong Hu, Qingru Cui, Qing Li and Chen Peng
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Deliang Zeng: School of Control and Computer Engineering, North China Electric Power, Beijing 102206, China
Yanqiu Zheng: School of Control and Computer Engineering, North China Electric Power, Beijing 102206, China
Wei Luo: School of Control and Computer Engineering, North China Electric Power, Beijing 102206, China
Yong Hu: School of Control and Computer Engineering, North China Electric Power, Beijing 102206, China
Qingru Cui: China Energy Investment, North China Electric Power, Beijing 102206, China
Qing Li: School of Control and Computer Engineering, North China Electric Power, Beijing 102206, China
Chen Peng: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China

Energies, 2019, vol. 12, issue 9, 1-16

Abstract: In order to realize fast and efficient tuning of the proportional-integral-derivative (PID) controller parameters in thermal power plants, this paper thoroughly analyzes the problems existing in the relay characteristic method based on the phase angle margin auto-tuning method (PM method), and proposes an improved PM auto-tuning method for the most common first order plus dead time (FOPDT) model in practical engineering applications. The improved algorithm proposes the design of the target phase angle margin and the method of plant identification. Then, the optimization algorithm is used to calculate the correction coefficient of the setting formula to obtain the PID controller parameters that minimize the integrated time absolute error (ITAE) index of the control system. Finally, through the auto-tuning experiment on the generalized control model of the main steam temperature system in thermal power plants, it is verified that the improved algorithm is superior to the traditional PM method and Ziegler–Nichols method (Z-N method), and can obtain a fast and stable control performance.

Keywords: relay characteristic method; PM algorithm; FOPDT models; auto-tuning; phase margin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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