Model-Free Nonsingular Fast Terminal Sliding Mode Control of a Permanent Magnet Synchronous Motor

Abstract

This paper proposes a new algorithm for Model-Free Control (MFC) combined with an improved Nonsingular Fast Terminal Sliding Mode Control (NFTSMC) technique for current control of a Permanent Magnet Synchronous Motor (PMSM). This new improved NFTSMC technique adds more advantages to the conventional terminal sliding mode control theory to enhance transient and steady state performance. The proposed new improved NFTSMC bridged over the traditional difficulties of Terminal Sliding Mode Control (TSMC) theory, like the limited values of its constraints and its state differentiation and avoids the complexity of its following versions. The MFC was based on the Radial Basis Function Neural Network (RBF NN) which doesn’t require known bounds of uncertainty. The stability of the proposed method was analyzed using Lypunov stability theory. Therefore, this technique was compared with Model Free Fractional Order Sliding Mode Control (MFFOSMC) [11] using MATLAB/SIMULINK in a vector control scheme to validate its design and show its faster torque and speed response, as well as its strong robust performance against varying parameters and external load disturbances.