In this paper, a solution to improve the precision in speed control for permanent magnet synchronous motors (PMSM) based on fuzzy adaptive sliding mode controller (FASMC) is proposed. In order to tackle the nonlinear tracking problem, continuously switching topologies are embedded. The designed algorithm and the closed electric drive system stability is examined by employing corresponding Lyapunov candidate functions. The results are numerically simulated and experimentally verified in the environment of MATLAB-Simulink, control Desk with dSPACE 1104 card, proving the applicability of the control algorithm which not only works well in simulations but also in practice for possible industrial traction drive applications.
In this paper, the research and development of kinematic characteristics and models of electromechanical tracking drive systems working in slow mode are presented, applied in industrial, civil, national defense and security machines security, using brushless direct current motors (BLDC). On the basis of building simulation models; then evaluate the speed, rotation angle, torque, and current components for this tracking electric drive system. The simulation model was verified on MATLAB/Simulink, experimented with the model to demonstrate the research results. These research results will be the basis for setting up control algorithms and designing tracking electric drive systems in industry, civil and national defense.
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