A stochastic configuration networks-based nonsingular fast terminal sliding mode control approach for indirect matrix converter-driven permanent magnet linear synchronous motors

Abstract

To further improve the fast and stability of the control system of an indirect matrix converter (IMC) driven permanent magnet linear synchronous motor (PMLSM), a nonsingular fast terminal sliding mode control (NFTSMC) algorithm based on the disturbance observer of stochastic configuration networks (SCNs) is proposed. The NFTSMC algorithm is used to design the outer loop controller, which can reduce the influence of the IMC by the power supply voltage and high-frequency harmonics generated by switching. To further reduce the disturbance of IMC-PMLSM during operation, in this paper, a nonlinear disturbance observer based on SCNs is constructed, which solves the drawback that the traditional disturbance observer needs to adjust the parameters frequently under different working conditions. Finally, a simulation model is established on the MATLAB/Simulink platform to verify the effectiveness and advantages of the proposed control method.

A State-Feedback Control Strategy Based on Grey Fast Finite-Time Sliding Mode Control for an H-Bridge Inverter with LC Filter Output

“…The recently developed fast finite-time sliding mode control (FFTSMC) originated from the concept of terminal attractors [25][26][27][28][29][30][31], it holds the insensitivity to unknown disturbances, and more notably, it accelerates the movement of the state to the equilibrium point in a limited time [32][33][34][35][36]. This control form of sliding mode greatly expands the dynamic and steady-state response of the controlled plant, except for overestimating or underestimating the boundary due to strong uncertainty, which will still lead to chattering or steady-state error.…”