Adaptive Backstepping Based Online Loss Minimization Control of an IM Drive

Abstract

Among the numerous loss minimization algorithms (LMA), a loss-model-based approach offers a fast response without torque pulsations. However, it requires the accurate loss model and the knowledge of the motor parameters. Therefore, a technical difficulty in deriving the loss model-based controller (LMC) lies in the complexity of the full loss model and the on-line motor parameter adaptation. In an effort to overcome the drawbacks of LMC, this paper presents a new strategy for inverter-fed IM drives aiming for both high efficiency and high dynamic performance. A new LMC incorporating the effect of the leakage inductance and an adaptive backstepping based nonlinear controller (ABNC) are designed and combined with each other. Thus on-line parameter adaptation of LMC can be obtained with no extra effort. The proposed control scheme is implemented in real-time using digital signal processor board DS 1104 and simulation and experimental results demonstrate the effectiveness of the proposed scheme.