基于紧凑形式动态线性化的改进无模型自适应控制

Zhonghua Pang, Wentai Song, Wencheng Luo, Cunwu Han, Dehui Sun
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引用次数: 2

摘要

随着现代工业和信息科学技术的发展,现代工业过程变得越来越复杂,这给基于模型的控制器设计带来了许多挑战。在这种情况下,数据驱动的控制是对基于模型的控制的补充。针对一类非线性系统,提出了一种改进的基于压缩格式动态线性化技术的无模型自适应控制方法。其控制律由时变比例项、时变积分项和时变导数项组成。结果表明,与原方法中只有一个时变积分项相比,该方法能较好地改善控制系统的动态性能。仿真结果验证了该方法的有效性。
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Improved Model Free Adaptive Control Based on Compact Form Dynamic Linearization
With the development of modern industry and information science and technology, modern industrial processes become more and more complex, which brings many challenges for model-based controller design. In this case, data-driven control is a complementary approach to model-based control. This paper proposes an improved model free adaptive control method based on compact format dynamic linearization technique for a class of nonlinear systems. Its control law consists of a time-varying proportional term, a time-varying integral term, and a time-varying derivative term. As a result, compared with the original method where there is only a time-varying integral term, it can strongly improve the dynamical performance of control systems. The effectiveness of the proposed method is demonstrated through simulation results.
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