混沌优化Smith预估补偿器

摘要/Abstract

摘要： 针对Smith预估补偿器参数选取不精确导致控制器失效的问题，提出一种在线混沌优化Smith预估补偿器参数的方法，此方法利用混沌遍历性对被控对象进行在线辨识，通过得到的辨识模型确定预估器参数和控制器参数。当模型变化时，控制器可以自适应调节参数。此方法具有被控对象自动识别、系统针对性强、可以滚动在线优化等优点。分别以低阶和高阶数学模型为被控对象进行了仿真，仿真结果表明控制方法具较强的跟踪能力和鲁棒性。

关键词: 混沌, 优化, Smith预估补偿器, 自适应

Abstract: A method of on-line chaotic optimization Smith predictor parameters was proposed, which could solve the problem of controller failure caused by the Smith predictive compensator parameters uncertainty. This method could online identification based on chaotic ergodicity. Parameters of predictor and controller were determined by the identified model. When the model was changed, the controller could adaptively adjust the parameters. This method has the advantages of automatic recognition system of controlled object, strong pertinence, rolling optimization. The simulation of the mathematical model for the controlled object was done, and the simulation results show that the control method with a strong tracking ability and robustness.

Key words: chaos, optimization, Smith predictor, adaptive

李青芮. 混沌优化Smith预估补偿器[J]. .

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