Design of model predictive control considering time delay in remote excavation work

In the teleoperation system with communication delay, the state of the remote robot arrives at the operator's side with time lag. Therefore, even though the remote robot has already been in contact with a obstacle, the operator may misunderstand that it is not in contact and may make further move. As a result, excessive force is applied to the obstacle and the remote robot may cause destruction and malfunction. In this paper, a teleoperation system using model predictive control is proposed to prevent destruction and failure due to time delay. The proposed method is evaluated by numerical simulations and experiments.

[1]  Noriaki Hirose,et al.  Personal Robot Assisting Transportation to Support Active Human Life - Following Control based on Model Predictive Control with Multiple Future Predictions - , 2015 .

[2]  Junji Hirai,et al.  Stability and transparency of adaptive controller based four-channel bilateral control system with communication delay , 2014, 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC).

[3]  Noriaki Hirose,et al.  Personal robot assisting transportation to support active human life — Human-following method based on model predictive control for adjacency without collision , 2015, 2015 IEEE International Conference on Mechatronics (ICM).

[4]  Kouhei Ohnishi,et al.  Elimination of reactive operational force in bilateral control system under time delay , 2015, 2015 IEEE International Conference on Mechatronics (ICM).

[5]  T. Namerikawa,et al.  Bilateral Control with Adaptive Prediction for Teleoperation with Communication Time Delay ∗ , .

[6]  Mohammad Javad Yazdanpanah,et al.  Terminal sliding mode impedance control for bilateral teleoperation under unknown constant time delay and uncertainties , 2013, 2013 European Control Conference (ECC).

[7]  Eloy García,et al.  Output Feedback Model-Based Control of uncertain discrete-time systems with network induced delays , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[8]  Minoru Tanaka,et al.  Personal robot assisting transportation to support active human life — Reference generation based on model predictive control for robust quick turning , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[9]  Kouhei Ohnishi,et al.  Stability analysis of bilateral control by considering environmental impedance and modeling error , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).