Study on Self-tuning of Robot Parameters for EMC Vehicle Steering Test

With the continuous advancement of electric vehicles and smart internet technologies, ensuring vehicle safety through electromagnetic compatibility (EMC) testing in complex electromagnetic environments has become increasingly critical. However, due to the significant variability in vehicle response...

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Veröffentlicht in:	Journal of intelligent & robotic systems Jg. 110; H. 4; S. 170
Hauptverfasser:	Liu, Xuan, Xing, Yuzhe, Liu, Yuqing, Wan, Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 06.12.2024 Springer Nature B.V
Schlagworte:	Anechoic chambers Artificial Intelligence Back propagation networks Control Control methods Electric vehicles Electrical Engineering Electromagnetic compatibility Electromagnetic interference Engineering Fuzzy control Fuzzy logic Fuzzy systems Mechanical Engineering Mechatronics Neural networks Parameters Proportional integral derivative Real time Robot control Robotics Robots Search algorithms Self tuning Short Paper Steering Vehicle safety PMSM Fuzzy algorithm PID self-tuning Steering robot SSA-BP neural network
ISSN:	1573-0409, 0921-0296, 1573-0409
Online-Zugang:	Volltext
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