六相直线感应电机模糊间接矢量控制

Fuzzy Logic and Indirect Vector Control of the Six-Phase Linear Induction Motor

摘要:

针对直线电机运行于复杂环境条件下，系统建模准确度不高，参数难以整定的问题，提出了一种适用于六相直线感应电机的模糊间接矢量控制方法；在同步旋转坐标系下对六相直线电机建模，并阐述了间接矢量控制的原理；将模糊控制算法应用于间接矢量控制中的速度环，根据位移和速度的偏差直接模糊调节给定电磁力，使得参数的整定不再依赖准确的系统模型，且参数调节更为简单；通过对隶属函数分区和采用中心法清晰化，减小了模糊控制算法的计算量，从而能够满足实时计算的要求；将所提算法在数字信号处理器（DSP，digital signal processor） 中实现，并在半实物仿真平台上验证，结果表明所提算法投入后，位移和速度误差减小都超过了65%，能够实现电机速度和位移的准确控制，且通用性好。

Abstract:

It is difficult to establish an accurate system model or tuning parameters when the linear motor works in a complex environment. To solve this problem, a fuzzy logic and indirect vector control method for the six-phase linear induction motor is proposed in this paper. The six-phase linear motor model in the synchronous rotating coordinate system is built, and the indirect vector control method is detailed introduced. The fuzzy logic control algorithm instead of the position loop is used in indirect vector control. The method adjusts electromagnetic force fuzzily according to the speed and position error, making the tuning of the parameter independent of the accurate system model, and the adjustment of the parameter is simpler. By dividing the membership function into different areas and using a center method, the calculation amount of the fuzzy logic control algorithm is reduced, which can better satisfy the requirement of the real-time calculation. The algorithm is implemented on the Digital Signal Processor (DSP) and verified on the hardware-in-loop simulation platform. The results show that the proposed algorithm can achieve accurate control of motor speed and position, and has good universality.