Performance of a loss model based nonlinear controller for IPMSM drive incorporating parameter uncertainties

Abstract

This paper presents a loss model based nonlinear control of interior permanent magnet synchronous motor (IPMSM) drive. Traditionally, the dynamic performance of the drive is often ignored for any loss model based controller (LMC) development. Therefore, in this paper an LMC is integrated to an adaptive backstepping based nonlinear controller in the design stage. In order to cope with parameter uncertainties some parameters are also estimated online for the loss model based nonlinear controller (LMNC). Besides high efficiency and high dynamic performance, the global stability of the drive system is also ensured through Lyapunov's stability theory. The proposed LMNC based closed loop control of IPMSM drive is implemented using a digital signal processor board DS1104 for a laboratory 5-hp motor. The performance of the proposed control scheme is investigated in both simulation and experiment at different load and speed conditions. The performance of the proposed LMNC is also compared with the conventional PI as well as nonlinear controller without any loss minimization algorithm. It is found that the proposed LMNC is superior to the conventional benchmark PI controller or nonlinear controller without any loss minimization.