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中文摘要：
针对永磁同步电机驱动系统存在的随机扰动问题,本文利用自适应神经网络控制方法,对考虑输入饱和的永磁同步电机随机非线性系统的位置跟踪控制进行研究。通过神经网络逼近系统中的非线性函数,利用自适应反步法构造控制器,同时选择合适的李雅普诺夫函数,证明了闭环系统的稳定性,同时,为验证所提方法的有效性,采用Matlab进行仿真实验。仿真结果表明,本方法所构造的控制器,在考虑输入饱和的情况下,能够保证闭环系统所有参数都是有界的,并且跟踪误差收敛到原点任意小的邻域内。该控制策略将永磁同步电机驱动系统的研究由确定型系统扩展到随机系统中。该研究具有一定的实际应用价值。
英文摘要：
For solving the problem of stochastic disturbance existing in permanent magnet synchronous motor（PMSM）drive systems,this paper uses adaptive neural network control design for PMSM stochastic nonlinear systems which consider input saturation to conduct position tracking control.The neural networks are used to approximate the nonlinearities,and adaptive backstepping technique is employed to construct controllers.We choose Lyapunov function to prove the stability of the closed-loop system.In order to verify the effectiveness of the proposed approach,simulation experiment is carried out using Matlab.It is shown that the proposed controller which considers input saturation ensures that all signals of the closed-loop system remain bounded in probability,and the tracking error converges to an arbitrarily small neighborhood around the origin.In this paper,the study of PMSM drive system is extended from the deterministic system to the stochastic system.
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