带变惯量负载的感应电机模糊控制策略研究

Research of Fuzzy Control Strategy for Induction Motor with Variable Inertia Load

文章对带非线性变惯量负载下感应电机控制系统提出了几种模糊控制策略。将数学模型和启发式学习方法、模糊逻辑和线性多变量控制技术相结合设计了矢量控制系统中的内部电流控制器;采用基于模糊模型的预测控制技术设计了系统外部的转速/位置控制环,以解决电机模型和负载情况的非线性特性。在非线性动态过程的建模中,融入了模糊逻辑和局部线性模型。仿真和实验结果显示,这种新颖的模糊控制策略具备优良的动态性能、较高的鲁棒性,完全满足高精度位置伺服系统的要求。

In this paper some novel fuzzy control strategies are presented for an induction motor drive system with variable inertia load. The design method of the inner fuzzy current controller provides a scheme for the in-corporation of heuristics and mathematical models and combines the fuzzy logic and the linear multiple variable control technique. Predictive control is employed in the outer speed/position loop to resolve the non-linear prob-lem of the induction motor and load. Fuzzy logic and local linear models are employed for modeling a non-linear dynamic process. Simulation and experimental results show that the fuzzy controller based servo system has high robustness and high dynamic performance that excellently meets the request of high precision position servo system.