随着交流电机控制技术的快速发展，传统的船用电机PI控制无论是精度还是鲁棒性都已不能满足要求，而非线性间接参考模型自适应模糊控制，是通过在线实时调节自适应参数来满足被控对象的输出渐进跟踪参考模型的输出，以达到一定的控制性能。模糊控制并不需要被控对象的精确数学模型，利用模糊系统的万能逼近特性构造未知函数，再根据跟踪误差和误差变化率等信息，构造出被控对象的等效控制器。将其这些特性应用到永磁同步电机控制中，并采用Lyapunov 稳定性分析理论设计出间接型自适应模糊控制器，对永磁同步电动机调速系统进行控制。仿真结果表明：系统在控制性能和适应性、鲁棒性等方面优点显著。
With the rapid development of AC motor control technology, the traditional marine motor PI control, both in accuracy and robustness, can not meet the requirements. Nonlinear indirect reference model adaptive fuzzy controller, by the on-line real-time adjustment of the adaptive parameters to satisfied with the controlled object output progressive tracking reference model output, In order to achieve accurate control performance. Fuzzy control does not need precise mathematical model of controlled object. By the universal approximation property of Fuzzy Systems, and according to the tracking error and the error rate and other information. Then the equivalent controller of the controlled object is constructed. These characteristics can be applied to the control of permanent magnet synchronous motor. An indirect adaptive fuzzy controller is designed by using the Lyapunov stability analysis theory, and then applied to control of permanent magnet synchronous motor speed control system. Simulation results show that: the system has obvious advantages in control performance and adaptability, robustness and so on.
2018,(): 76-80,105 收稿日期：2016-10-12
DOI：10.3404/j.issn.1672-7649.2018.02.014
分类号：TM351
作者简介：庞科旺(1963-),男,副教授,主要从事大功率电力电子装置及自动化方面的教学和研究工作
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