TY - GEN
T1 - Research on energy-regeneration simulation of an electromechanical active-suspension system
AU - Lin, Qinghua
AU - Wu, Zhicheng
AU - Zhao, Yuzhuang
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/10/16
Y1 - 2019/10/16
N2 - Active suspension have not been used widely due to its magnificent energy consuming. A kind of electromechanical energy-regenerative suspension is proposed in this paper. Suspension dynamic equations are modeled by MATLAB/Simulink. In order to get an optimal performance of suspension, several indices are discussed in this paper with three control curve on a motor MAP diagram. The results indicated that optimal control strategy depends on subjective object; As for energy recovery, performance contour is the best choice. If the objective is the balance of all indices, middle torque curve is the ideal choose. Also an active control suspension and energy-regenerative suspension are compared in this paper. It can be concluded that the active control suspension can obtain good dynamic effects but consume considerable energy.
AB - Active suspension have not been used widely due to its magnificent energy consuming. A kind of electromechanical energy-regenerative suspension is proposed in this paper. Suspension dynamic equations are modeled by MATLAB/Simulink. In order to get an optimal performance of suspension, several indices are discussed in this paper with three control curve on a motor MAP diagram. The results indicated that optimal control strategy depends on subjective object; As for energy recovery, performance contour is the best choice. If the objective is the balance of all indices, middle torque curve is the ideal choose. Also an active control suspension and energy-regenerative suspension are compared in this paper. It can be concluded that the active control suspension can obtain good dynamic effects but consume considerable energy.
KW - Energy recovery
KW - Energy-regenerative suspension
KW - LQG control
KW - MAP diagram
KW - Motor control strategy
UR - http://www.scopus.com/inward/record.url?scp=85077824042&partnerID=8YFLogxK
U2 - 10.1145/3366715.3366720
DO - 10.1145/3366715.3366720
M3 - Conference contribution
AN - SCOPUS:85077824042
T3 - ACM International Conference Proceeding Series
SP - 158
EP - 163
BT - RSVT 2019 - 2019 International Conference on Robotics Systems and Vehicle Technology
PB - Association for Computing Machinery
T2 - 2019 International Conference on Robotics Systems and Vehicle Technology, RSVT 2019
Y2 - 18 October 2019 through 20 October 2019
ER -