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作 者:蒋雄杰 罗雨颋 王印松[2] 李亚玲 JIANG Xiong-jie;LUO Yu-ting;WANG Yin-song;LI Ya-ling(Zhejiang Zheneng Jiahua Power Generation Co.,Ltd.,Jiaxing 314000,China;School of Control and Computer Engineering,North China Electric Power University,Baoding 071003,China)
机构地区:[1]浙江浙能嘉华发电有限公司,浙江嘉兴314000 [2]华北电力大学控制与计算机工程学院,河北保定071003
出 处:《控制工程》2021年第9期1850-1855,共6页Control Engineering of China
摘 要:为了提高火力发电控制系统的控制品质,针对传统性能评估方法对被控对象数学模型的依赖问题,提出了一种基于Hurst指数的控制系统性能评价方法。该方法基于火电机组控制系统的常规运行数据,首先采用Hurst指数分析数据、划分系统性能等级,针对不同的性能等级给出了不同的控制器参数优化方案;然后通过MATLAB/Simulink模拟产生不同工况下的运行数据,利用该指标进行评价及优化;最后将该方法应用于工业实际过程,验证其可行性和有效性。实验结果表明,Hurst指数能够准确衡量控制器的调节强弱,指导控制器参数的优化调整。In order to improve the control quality of the thermal power generation control system, a performance assessment method based on Hurst exponent is proposed in view of the dependence of the traditional performance assessment methods on the controlled object mathematical model. The method is based on the normal operation data of the thermal power unit control system. Firstly, the Hurst exponent is used to analyze the data and classify the system performance levels. Different optimization schemes of controller parameters are given for different performance levels. Then, the operation data under different working conditions are generated by MATLAB/Simulink simulation, and the exponent is used for assessment and optimization. Finally, the method is applied to actual industrial process to verify its feasibility and effectiveness. The experimental results show that the Hurst exponent can accurately measure the adjustment strength of the controller and guide the optimization and adjustment of the controller parameters.
分 类 号:TB114.2[理学—运筹学与控制论]
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