Fractional Order PID Parameter Tuning for Solar Collector System Based on Frequency Domain Analysis

被引:13
作者
Meng, Fanwei [1 ]
Liu, Shuai [1 ]
Pang, Aiping [2 ]
Liu, Kai [1 ]
机构
[1] Northeastern Univ, Sch Control Engn, Qinhuangdao 066004, Hebei, Peoples R China
[2] Guizhou Univ, Sch Elect Engn, Guiyang 550025, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional calculus; Robustness; Fluids; Linear programming; Heating systems; Optimization; Fractional order PID controller (FOPID); parabolic distributed solar collector; robustness; particle swarm optimization; MODEL-PREDICTIVE CONTROL;
D O I
10.1109/ACCESS.2020.3016063
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The control aim of parabolic distributed solar collector (PDSC) is to make the heat generated follow the expected reference value when the solar radiation varies unevenly. This article proposes a control strategy based on fractional-order PID (FOPID) to achieve control objectives. Four non-linear constraints and an objective function of the controller are proposed based on the frequency domain. Most studies regard the constraint measuring stability as the objective function, while the real difficulty for the control system design should be how to obtain better robustness. Therefore, this article determines five parameters of FOPID by selecting the constraint measuring robustness as the objective function based on Particle swarm optimization (PSO). Besides, three non-parametric statistical tests, including Friedman ranks, Friedman Aligned ranks and Quade ranks, have been adopted to compare PSO with other evolutionary algorithms to demonstrate its advantage. Finally, the superiority of proposed strategy to previous design is demonstrated by the simulation studies on a PDSC in terms of the control performance of step response, static gain variation, time constant variation, high frequency noise and output interference.
引用
收藏
页码:148980 / 148988
页数:9
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