Phase compensation based active disturbance rejection control for high order superheated steam temperature system

被引:14
作者
Chen, Zhuo [1 ]
Hao, Yong-Sheng [1 ]
Sun, Li [1 ]
Su, Zhi-gang [1 ]
机构
[1] Southeast Univ, Sch Energy & Environm, Key Lab Energy Thermal Convers & Control, Minist Educ, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Superheated steam temperature (SST); Active disturbance rejection control (ADRC); High order process; Phase compensation; PREDICTIVE CONTROL; DESIGN;
D O I
10.1016/j.conengprac.2022.105200
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the continuous penetration of renewable energies, the control requirements for conventional thermal power unit superheated steam temperature (SST) systems are gradually increasing, to cope with more frequent and large-scale load changes. As a key parameter in the thermal power generation process, SST directly affects the safe and economic operation of the unit. However, the SST system is a typical high-order, large inertia industrial process, which poses severe difficulties to improve the control performance in practice, especially the disturbance rejection performance. To this end, this paper proposes a phase compensation (PC) based low-order active disturbance rejection control (ADRC) strategy for a class of high-order, large-inertia processes. Firstly, the working principles and control problems of SST system are illustrated, and the SST model is identified based on the open-loop step experiment data. Then, the phase compensation network model is derived in detail by low-frequency approximation. A design shift is presented, PC is adopted to compensate process dynamics and obtain reduced-order plant equivalently, which makes it also accessible to other error-based controllers. For engineering practice, its simple implementation and equivalent plant analysis for PC-ADRC control system are also given. At last, the stability and robustness of the PC-ADRC control system are carefully studied. The PC-ADRC controller parameters are determined according to the ideal dynamics and the trade-off between the performance and robustness. Both analysis and simulations show that the PC can effectively improve the robustness and fast response ability of high-order process control system. The efficacy of the proposed method is verified by simulation results based on the identified model, and a laboratory experiment shows the promise in practical applications.
引用
收藏
页数:10
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