Impedance Force Control Research Articles

힘제어 기반의 틈새 추종 로봇의 제작 및 제어에 관한 연구 : Part Ⅱ. 힘제어

In this paper, experimental studies of force control of the crack tracking robot are presented. The crack tracking robot should maintain constant contact with the road to perform cleaning process of the crack effectively. Regulating desired force on the road requires a sophisticated force control algorithm. Here, two main force control algorithms such as the impedance force control and the explicit force control are used. Performances of two force control algorithms are compared.

EXPERIMENTAL STUDIES OF IMPEDANCE FORCE TRACKING CONTROL OF A CRACK SEALING ROBOT FOR HIGHWAY MAINTENANCE

This paper presents experimental studies of impedance force tracking control algorithm for a crack sealing robot. The robot is built to find and seal cracks on the pavement. Regulating contact force improves the performance of cleaning process before sealing. The proposed impedance force control method is robust to perform tasks under unknown surface condition such as stiffness and position of the environment. Experimental studies show that the robot regulates a desired force quite well on the curved unknown environment.

Neural network impedance force control of robot manipulator

The performance of an impedance controller for robot force tracking is affected by the uncertainties in both the robot dynamic model and environment stiffness. The purpose of this paper is to improve the controller robustness by applying the neural network (NN) technique to compensate for the uncertainties in the robot model. NN control techniques are applied to two impedance control methods: torque-based and position-based impedance control, which are distinguished by the way of the impedance functions being implemented. A novel error signal is proposed for the NN training. In addition, a trajectory modification algorithm is developed to determine the reference trajectory when the environment stiffness is unknown. The robustness analysis of this algorithm to force sensor noise and inaccurate environment position measurement is also presented. The performances of the two NN impedance control schemes are compared by computer simulations. Simulation results based on a three-degrees-of-freedom robot show that highly robust position/force tracking can be achieved in the presence of large uncertainties and force sensor noise.