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In order to further improve the torque tracking control performance, LuGre model based dynamic friction compensation is designed to estimate and compensate friction torque in the practical torque motor system.
An adaptive robust torque control algorithm with LuGre model based dynamic friction compensation is proposed to improve the torque tracking accuracy.
Experimental results with three compared control algorithms validate that the proposed algorithm can effectively improve the torque tracking performance and LuGre model based dynamic friction compensation is also necessary for high-accuracy torque tracking control.
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Simulation results show that the active controller with adaptive fuzzy friction compensation outperforms other active controllers with compensation terms characterized by three well-known friction models.
To improve the dynamic behavior of these machines, an efficient friction compensation as well as a high perfomance signal- and data processing system is necessary.
The robust LuGre model-based friction compensator is experimentally compared to other friction compensation and position control schemes.
The dynamic control experiments are designed for the trajectory tracking of the parallel manipulator to study the friction compensation.
In this article, we investigate a robust friction compensation scheme for the purpose of accomplishing high-precision positioning performance in a servo mechanical system with nonlinear dynamic friction.
In technical terms, its dynamic friction must be lower than its static friction.
The traditional style of cross-country skiing works on the same principle — the downward kick stroke requires high static friction, while the glide is possible thanks to low dynamic friction.
Fig. 13 Block diagram of gravity and friction compensation.
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