Performance of a Loss Model Based Nonlinear Controller for IPMSM Drive Incorporating Parameter Uncertainties

This paper presents a novel loss minimization based nonlinear controller for interior permanent magnet synchronous motor (IPMSM) drive to achieve both high efficiency and high dynamic performance. Traditionally, the dynamic performance of the drive is often ignored for any loss minimization controller or, loss minimization is ignored for robust controller. Therefore, in this paper, a loss model based controller is integrated to an adaptive backstepping based nonlinear controller in the design stage. In order to cope with parameter uncertainties, some motor parameters are also estimated online for the proposed loss model based nonlinear controller (LMNC). Moreover, stability of the proposed drive is demonstrated through Lyapunov's stability criterion and global asymptotic stability is assured through the application of Barbalat's lemma. The proposed LMNC-based 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. It is found that the proposed LMNC is superior to the conventional benchmark PI controller or nonlinear controller.