“…IPMSM is a complicated system of high-nonlinearities, strong-coupling and multi-variables, and its parameters are very sensitive to environment. In order to achieve high control performance of IPMSM, such as fast response, high precision, and strong anti-disturbance capacity, various control strategies are proposed including proportional integral (PI) control [4], [5], [6], [7], [8], neural network (NN) control [9], [10], [11], [12], [13], [14], fuzzy control [15], [16], [17], [3], [18], sliding mode control [19], [20], [21], [22], [23], predictive control [24], [25], [26], [27], dynamic surface control(DSC) [10], [28], [29], [30], [13] and extended-state-observer-based control [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], etc. Specifically, in [3], a discrete-time fuzzy position tracking controller is designed via backstepping approach to overcome the problem of coupling nonlinearity in the IPMSM drive system.…”