为提高火电主汽温控制系统在机组参与深度调峰过程中的控制品质，提升控制系统的自适应能力与鲁棒性，提出了模糊ADRC串级控制方案。在MATLAB仿真平台中搭建控制器进行仿真研究，并与传统的PID串级控制方案进行比较，最后用蒙特卡洛法验证控制系统的鲁棒性。仿真结果表明：模糊自抗扰控制器的快速响应能力优于PID控制器;在增加内扰的情况下，模糊ADRC的抗扰性较好；在随机工况的控制中，模糊ADRC表现出更好的自适应能力与鲁棒性。

In order to improve the control quality of the thermal power main steam temperature control system in the process of the unit participating in the deep peak shaving,and to improve the adaptive ability and robustness of the control system,this paper proposes a fuzzy ADRC cascade control scheme.A controller is built in the MATLAB simulation platform to conduct simulation research,and compare it with the traditional PID cascade control scheme.Finally,Monte Carlo method is used to verify the robustness of the control system.The simulation results show that the fuzzy auto-disturbance rejection controller has faster response capability than the PID controller.In the case of increasing internal disturbance,the fuzzy ADRC has better noise immunity.In the random conditions control experiments,the fuzzy ADRC shows much better adaptability and robustness.

TK212,TP273

山西省科技重大专项(MD2016-01)；山西省研究联合培养基地人才培养项目(2018JD04)