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An on-line identification algorithm via dynamic neural networks with different time-scales followed by controller design is proposed for the dynamic systems with nonlinearity and uncertainty in this paper. The main contribution of the paper is that the Lyapunov function analysis, singularly perturbed technique and sliding mode methodology are combined to develop the control laws for trajectory tracking...
In this paper, a novel sliding-mode observer based adaptive controller is developed for the servo actuators with friction. The LuGre dynamic friction model is adopted for adaptive friction compensation. A sliding-mode observer is proposed to estimate the internal friction state of LuGre model. Based on the estimated friction state, adaptation laws are designed to compensate the unknown friction and...
In this paper, a novel sliding-mode-observer-based adaptive controller is developed for the servo actuators with friction. The LuGre dynamic friction model is adopted for adaptive friction compensation. A sliding-mode observer is proposed to estimate the internal friction state of LuGre model. Based on the estimated friction state, adaptation laws are designed to compensate the unknown friction and...
This paper presents a novel sliding-mode control method for torque control of induction motors for hybrid electric vehicle applications. The control principle is based on sliding-mode control combined with space vector modulation techniques. The sliding-mode control contributes to the robustness of induction motor drives, and the space vector modulation improves the torque, flux, and current steady-state...
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