鉴于燃气轮机线性化模型容易在大工况范围丢失实际燃机的动态特性，以及燃气轮机传统的单变量叠加控制在提高控制效率和控制系统鲁棒性上的局限性，本文以高压转子转速为调度变量建立三轴燃气轮机的线性变参数（LPV）模型，从而在建模复杂程度和模型精度上获得较好的平衡。在此基础上，提出了基于摄动矩阵上界估计和外部干扰上界估计的三轴燃气轮机自适应滑模控制。该控制可通过自适应参数实现对系统摄动矩阵干扰和外部干扰的合理估计，从而抑制干扰造成的影响。通过仿真实验分别研究了摄动矩阵干扰和外部干扰下的LPV滑模自适应控制，验证了其较好的动态响应性能和鲁棒性。
In view of the fact that the gas turbine linearization model is easy to lose the dynamic characteristics of the actual gas turbine during a large range operating conditions, and the traditional single-variable superimposed control of gas turbine has the limitation of improving the control efficiency and the robustness of the control system. In this paper, a three-spool gas turbine LPV model is established with the high-pressure rotor speed as the scheduling variable, and on this basis, an adaptive sliding mode control of a three-spool gas turbine based on the perturbation matrix upper bound estimation and the external disturbance upper bound estimation is proposed. Through simulation experiments, the LPV sliding mode adaptive control under perturbation matrix and external disturbance is studied respectively, and its better dynamic response performance and robust performance is verified.
2024,46(4): 127-134 收稿日期：2022-10-12
DOI：10.3404/j.issn.1672-7649.2024.04.024
分类号：U664.131
作者简介：姚飞(1993-),男,硕士,助理工程师,研究方向为轮机工程
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