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Volumn , Issue , 2007, Pages 2029-2034

Neural network self-adaptive PID control for driving and regenerative braking of electric vehicle

Author keywords

Driving control; Electric vehicle; Neural network; Regenerative braking; Self adaptive PID control

Indexed keywords

CONTROL SYSTEMS; ELECTRIC VEHICLES; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 40649084870     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2007.4338908     Document Type: Conference Paper
Times cited : (18)

References (13)
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  • 2
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  • 4
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    • Dec
    • Diego Langoni, Mark H. Weatherspoon, Simon Y. Foo, and Hector A. Martinez, "A speed and accuracy test of backpropagation and RBF neural networks for small-signal models of active devices," Engineering Applications of Artificial Intelligence, vol. 19, no. 8, pp. 883-890, Dec. 2006.
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  • 5
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    • Simulation of a permanent magnet brushless DC motor for electric vehicle using the bond graph method
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    • Liao Lianying, Wang Zhongfan, Deng Yadong, and Hu Xiaolin. "Simulation of a permanent magnet brushless DC motor for electric vehicle using the bond graph method," Journal of WUT, vol. 25, no. 6, pp. 192-195, Dec. 2003.
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    • H robust control for driving and regenerative braking of electric vehicle
    • Mar
    • Bai Zhifeng, Zhang Chuanwei, Li Shuxin, Lin Jiarang, and Cao Binggang, "H robust control for driving and regenerative braking of electric vehicle," Journal of Xi an Jiaotong University, vol. 39, no. 3, pp. 256-260. Mar. 2005.
    • (2005) Journal of Xi an Jiaotong University , vol.39 , Issue.3 , pp. 256-260
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  • 9
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    • A controller of brushless DC motor for electric vehicle
    • Jan
    • Hongxing Wu, Shukang Cheng, and Shumei Cui, "A controller of brushless DC motor for electric vehicle," IEEE Transactions on Magnetics, vol. 41, no. 1, Jan. 2005.
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  • 10
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    • Adaptive PID control and on-line identification for switched reluctance motors based on BP neural network
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    • Changliang Xia, Mei Xue, and Ziran Chen, "Adaptive PID control and on-line identification for switched reluctance motors based on BP neural network," in Proc. The IEEE International Conference on Mechatronics & Automation (ICMA), Niagara Falls. Canada, Jul. 2005, pp. 1918-1922.
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    • Xia Changliang, and Xiu Jie, "RBF ANN nonlinear prediction model based adaptive PID control of switched reluctance motor," Proceedings of the CSEE, vol. 27, no. 3, pp. 57-62, Jan. 2007.
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  • 12
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    • Jorge Moreno, Micah E. Ortúzar, and Juan W. Dixon, "Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks," IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 614-623, Apr. 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.