Speed Sensorless Control of Induction Motor based on A New Optimal Iteration Algorithm

As an effective control strategy, finite control set model predictive control (FCS-MPC) is characterized by fast response and simple computation. In this paper, an improved cost function based on FCS-MPC iterative algorithm is proposed for speed sensorless control of induction motor. To ensure the convergence of the iterations and reduce the iteration times, a new cost function is first proposed. Then, a new optimal rotor position angle searching method is further proposed to achieve speed sensorless control of induction motor. This method allows the unique optimal rotor position angle to be obtained within any $\pi$/2 range, eliminating the requirement for an iterative search over the entire 2$\pi$ range, significantly reducing the searching range and the calculation burden. Simulation results validate the effectiveness of the proposed method.