Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization

doi:10.11930/j.issn.1004-9649.201908096

Abstract

Abstract: Regarding the existing issues in the control of superheated steam temperature, which are related to the control system dynamic characteristics, such as large inertia, long duration of time lag and strong nonlinearities, as well as the difficulties to set the parameters of the controller under certain disturbances, this paper presents the cascade active disturbance rejection control-linear active disturbance rejection control (ADRC-LADRC) strategy. Specifically, in the outer loop the proposed method uses nonlinear active disturbance rejection control to reduce the overshoot, while in the inner loop it uses linear active disturbance rejection control to quickly respond to and then suppress the disturbance. At the same time, the multi-objective particle swarm optimization algorithm is used to optimize the parameters in the control loop. The test and engineering applications show that the ADRC-LADRC control strategy based on multi-objective particle swarm optimization algorithm has better control performance and strong anti-interference capability. Also it can quickly respond to disturbances and track the set values to keep the superheated steam temperature stable.

Key words: active disturbance rejection control (ADRC), superheated steam temperature, multi-objective particle swarm optimization algorithm (MOPSO), cascade control system

NIU Haiming, YU Jiao, DING Changfu, WANG Zhaohui, TIAN Bin. Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization[J]. Electric Power, 2020, 53(3): 126-133.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201908096

https://www.electricpower.com.cn/EN/Y2020/V53/I3/126

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