JACIII Vol.26 No.4 pp. 590-599
doi: 10.20965/jaciii.2022.p0590


Control Strategies for Gas Pressure Energy Recovery Systems

Dong Wei*,**, Ruochen Zhao*,**, Yaxuan Xiong***,†, and Mingxin Zuo*,**

*School of Electrical Engineering and Information Technique, Beijing University of Civil Engineering and Architecture
Xicheng District, Beijing 100044, China

**Beijing Key Laboratory of Intelligent Processing for Building Big Data
Xicheng District, Beijing 100044, China

***School of Environmental and Energy Engineering, Beijing University of Civil Engineering and Architecture
1 Xicheng District, Beijing 100044, China

Corresponding author

December 27, 2021
April 25, 2022
July 20, 2022
fuzzy PI control, model predictive control, DTC, power generation system

In gas transmission, the regulator needs to adjust the gas pressure from high to low. The pressure energy can be then recovered by an expander, and the expander can drive a generator to produce electricity. However, the gas pressure regulator system and generator torque process often present difficult adjustment of PI parameters, and strong non-linearity of the hysteresis comparator and switching table in the traditional direct torque control (DTC) cause difficulties in the controller design and lead to large fluctuations of the generator torque. This paper designs a model predictive controller (MPC) for the gas pressure regulator process to reduce generator torque fluctuations. Simultaneously, a fuzzy PI controller is designed for the generator rotational speed process, and an MPC controller is exploited for the torque process; they operate in a cascaded manner. The fuzzy PI controller is used to calculate the torque set point. And the MPC controller is designed to obtain the optimal voltage vector of the generator for improving control performance through time delay compensation. The simulation experimental results highlight that the fluctuation of the regulator outlet gas pressure is reduced by 7.9% and 8.1%, and the output torque range is reduced by 3.4% and 2.1% compared with the traditional PI control and fuzzy PI control, respectively. The generator torque fluctuation range is reduced by 82.3%, the rotational speed fluctuation range is reduced by 76.9%, and the three-phase current fluctuation range is reduced by 76.6% compared with the traditional DTC.

Cite this article as:
D. Wei, R. Zhao, Y. Xiong, and M. Zuo, “Control Strategies for Gas Pressure Energy Recovery Systems,” J. Adv. Comput. Intell. Intell. Inform., Vol.26 No.4, pp. 590-599, 2022.
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Last updated on Jul. 12, 2024