Parameter optimization of field oriented control with 6 sigma tool

The permanent magnet synchronous motor (PMSM) and sensorless field oriented control (FOC) system became a technology issue in the area of home appliances because they are good at reducing power consumption and acoustic noise. Sensorless FOC consists of speed controller, current controller, position estimator and so on. There are many parameters that have an effect on the performance of the control system. Furthermore, some of these parameters may interact, so it is very difficult to optimize these parameters. In this paper, we introduce the implementation of sensorless FOC using a digital signal processor (DSP), and we propose an optimization method using the multiple responses optimization that is one of the tools of six sigma. This optimization includes factor decision, design of experiment, regression analysis, response surface design, optimization process, and capability analysis. With this optimization, acoustic noise and power consumption is much reduced and speed control performance increases. Experimental results are included.