Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Nonlinear feedback controllers and compensators: a state-dependent Riccati equation approach
Computational Optimization and Applications
Adaptive SDRE based nonlinear sensorless speed control for PMSM drives
ACC'09 Proceedings of the 2009 conference on American Control Conference
Journal of Control Science and Engineering
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This paper proposes a new speed and current control scheme for a Permanent Magnet Synchronous Motor (PMSM) by means of a nonlinear and adaptive backstepping design. All the parameters in both PMSM and load dynamics are considered unknown. It is assumed that all state variables are measurable and available for feedback in the controller design. The final control and parameter estimation laws are derived by the design of the virtual control inputs and the Lyapunov function candidate. The overall control system is asymptotically stable according to stability analysis results based on Lyapunov stability theory. Simulation results clearly show that the controller guarantees tracking of a time varying reference speed owing to the fact that the speed and current tracking errors asymptotically converge to zero despite all the parameter uncertainties/perturbations and load torque disturbance variation. Numerical simulations reveal the performance and feasibility of the proposed controller.