FPGA-based sensorless PMSM speed control using adaptive sliding mode observer

This paper proposes a novel adaptive sliding mode observer to improve the performance of sensorless control of permanent magnet synchronous motor (PMSM) in the More Electric Aircraft (MEA) system. An adaptive sliding mode observer base on adaptively tuning the observer gain is investigated to relax the requirement for the bound of load uncertainties and strengthen the anti-interference ability. System robustness, as well as stability, is proven by using the Lyapunov theory. The adaptive sliding mode observer can effectively improve the accuracy of the estimated position during PMSM high-speed operation, which are implemented by simulations. Furthermore, experimental results are obtained on a field-programmable gate array (FPGA) platform with an inverter-fed PMSM to show the feasibility and effectiveness of the proposed adaptive SMO algorithm.