Development of Electromagnetic Unmanned Robot Applied to Automotive Test

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A novel electromagnetic unmanned robot applied to automotive test (URAT) based on the conversion principle of electric-magnetic-force is proposed. Electromagnetic URAT adopts electromagnetic linear motor (EMLM) as its drive mechanism. The mechanical system structure and the control system structure of electromagnetic URAT are designed. The coordinated control method of multiple manipulators is given. Experiments are performed using a Ford FOCUS car. Experimental results shows that electromagnetic URAT can smoothly achieve starting, acceleration, shifting, steady speed and deceleration. The overshoot of speed tracking control during transition from the acceleration stage to steady stage is small. Moreover, the speed fluctuation at the steady stage is smooth, and the speed control accuracy can meet the requirements of national test standards. The robot can automatically drive different vehicle models instead of human driver without need of any automobile modification.

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213-218

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Gang Chen, Wei-gong Zhang, Xiao-na Zhang: Speed Tracking Control of Vehicle Robot Driver System Using Multiple Sliding Surface Control Schemes. International Journal of Advanced Robotic Systems. Vol. 10 (2013), pp.1-9.

DOI: 10.5772/53750

Google Scholar

[2] Gang Chen, Wei-gong Zhang, Xiao-na Zhang: Fuzzy Neural Control for Unmanned Robot applied to Automotive Test. Industrial Robot-An International Journal. Vol. 40 No. 5 (2013), pp.450-461.

DOI: 10.1108/ir-08-2012-398

Google Scholar

[3] Xiaobing Chen and Weigong Zhang: Robot driver for vehicle durability emission test on chassis dynamometer. Journal of Southeast University (English Edition). Vol. 21 No. 7 (2005), pp.33-38.

Google Scholar

[4] M Spencer, D Jones, M Kraehling and K Stol: Trajectory based autonomous vehicle following using a robotic driver. in Robotics and Automation in 2009 proceedings of the Australasian Conference in Sydney, Australia. (2009), pp.1-10.

Google Scholar

[5] Fuen Chen, Chunfu Gao, Lunan Duan, et al: Test System of Capability and Life-span of Auto Synchronizer and Its Control of Handling Mechanical Hand. Chinese Journal of Construction Machinery. Vol. 2 No. 1 (2004), pp.108-112.

Google Scholar

[6] Weigong Zhang, Yujian Zhai and Jiangsheng Ni: Design optimization of gear shifting manipulator in vehicle robot driver. China Mechanical Engineering. Vol. 6 No. 1 (1995), pp.36-38.

Google Scholar

[7] Nicholas Wong, Christopher Chamber, Dr Karl Stol, et al: Autonomous Vehicle Following Using a Robotic Driver. 15th International conference on Mechatronics and Machine Vision in Practice (M2VIP08), Auckland, New-Zealand. (2008), pp.115-120.

DOI: 10.1109/mmvip.2008.4749517

Google Scholar

[8] Oriol Gomis-Bellmunt, Samuel Galceran-Arellano, Antoni Sudrià-Andreu, et al: Linear electromagnetic actuator modeling for optimization of mechatronic and adaptronic systems. Mechatronics. Vol. 17 No. 2-3 (2007), pp.153-163.

DOI: 10.1016/j.mechatronics.2006.07.002

Google Scholar

[9] Rajesh Luharuka, Saniya Le Blanc, Jemmy S. Bintoro: Simulated and experimental dynamic response characterization of an electromagnetic micro valve. Sensors and Actuators. Vol. 143 No. 2 (2008), pp.399-408.

DOI: 10.1016/j.sna.2007.10.084

Google Scholar

[10] State Environmental Protection Administration of China: GB 18352. 3-2005 Limits and measurement methods for emissions from light-duty vehicle (III, IV). Beijing: Standards Press of China. (2005).

Google Scholar

[11] Chen Gang, Zhang Weigong, Gong Zongyang, et al: A Vehicle Performance Self Learning Method Applied to Robot Driver. China Mechanical Engineering. Vol. 21, No. 4 (2010), pp.491-495.

Google Scholar