Mitigating collision is a fundamental issue in contact problems, and is required to ensure the safety of a robotic cell. Research into the contact problem between robots and their environment is divided into two parts: one uses the environmental contact model and parameter estimation, the other uses the robot force control method. There are two main problems with this research method. One is that the two research levels are not effectively combined to form a complete solution for force control in practice. The other problem is that research on excessive contact force in the collision phase has not been studied in depth for force control. In this paper, a sensing-executing bionic system is proposed that combines environmental detection and robotic force control based on the way an ant functions. The bionic system clearly explains the process from environment detection to robot control, which can provide guidance when designing a new robot control system. An adaptive switching control algorithm is proposed to mitigate the collision force in the collision phase. From the simulation results, the collision force is significantly reduced due to the implementation of adaptive switching control. Finally, a new self-sensing device is designed which can be integrated into the robot control device. However, as there are no additional sensors or computational complexity in the system, the effectiveness of the circuit and superiority of the adaptive parameter update must be verified by experimentation.
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November 2019
Research-Article
Control of Adaptive Switching in the Sensing-Executing Mode Used to Mitigate Collision in Robot Force Control Available to Purchase
Hongli Cao,
Hongli Cao
College of Automotive Engineering,
Chongqing University,
Shazheng Street No. 174,
Chongqing 400044, China
e-mail: [email protected]
Chongqing University,
Shazheng Street No. 174,
Chongqing 400044, China
e-mail: [email protected]
Search for other works by this author on:
Ye He,
Ye He
Professor
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Chongqing 400044, China
e-mail: [email protected]
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Shazheng Street No. 174
,Chongqing 400044, China
e-mail: [email protected]
1Corresponding author.
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Xiaoan Chen,
Xiaoan Chen
Professor
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Chongqing 400044, China
e-mail: [email protected]
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Shazheng Street No. 174
,Chongqing 400044, China
e-mail: [email protected]
Search for other works by this author on:
Zhi Liu
Zhi Liu
College of Automotive Engineering,
Chongqing University,
Chongqing 400044, China
e-mail: [email protected]
Chongqing University,
Shazheng Street No. 174
,Chongqing 400044, China
e-mail: [email protected]
Search for other works by this author on:
Hongli Cao
College of Automotive Engineering,
Chongqing University,
Shazheng Street No. 174,
Chongqing 400044, China
e-mail: [email protected]
Chongqing University,
Shazheng Street No. 174,
Chongqing 400044, China
e-mail: [email protected]
Ye He
Professor
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Chongqing 400044, China
e-mail: [email protected]
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Shazheng Street No. 174
,Chongqing 400044, China
e-mail: [email protected]
Xiaoan Chen
Professor
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Chongqing 400044, China
e-mail: [email protected]
State Key Laboratory of Mechanical
Transmission,
Chongqing University,
Shazheng Street No. 174
,Chongqing 400044, China
e-mail: [email protected]
Zhi Liu
College of Automotive Engineering,
Chongqing University,
Chongqing 400044, China
e-mail: [email protected]
Chongqing University,
Shazheng Street No. 174
,Chongqing 400044, China
e-mail: [email protected]
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received March 4, 2019; final manuscript received May 17, 2019; published online June 27, 2019. Assoc. Editor: Richard Bearee.
J. Dyn. Sys., Meas., Control. Nov 2019, 141(11): 111003 (12 pages)
Published Online: June 27, 2019
Article history
Received:
March 4, 2019
Revised:
May 17, 2019
Citation
Cao, H., He, Y., Chen, X., and Liu, Z. (June 27, 2019). "Control of Adaptive Switching in the Sensing-Executing Mode Used to Mitigate Collision in Robot Force Control." ASME. J. Dyn. Sys., Meas., Control. November 2019; 141(11): 111003. https://doi.org/10.1115/1.4043917
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