TY - GEN
T1 - Optimization on parallel control of PID and fuzzy in constant-speed braking process with a hydrodynamic retarder
AU - Mu, Hongbin
AU - Fu, Jiwei
AU - Wu, Zhenyu
AU - Zhu, Yong
AU - Wei, Wei
AU - Yan, Qingdong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - In order to improve the dynamic braking performance of the hydrodynamic retarder installed in a heavy-duty vehicle, the constant-speed braking strategy on the dynamic analysis of vehicle driving downhill is conducted combining the PID and fuzzy control methods. The accurate and detailed braking characteristics models of working chamber and hydraulic system are established and validated by experimental data. The parallel control of PID and fuzzy with certain weight combining the advantages of fuzzy controller and PID controller is proposed, designed and implemented. Then the influence of the fuzzy weight on dynamic braking performance is analyzed, and the weight value is further optimized by Full Factorial Design experimental method and gradient optimization algorithm. The results show that the parallel control logic of PID and fuzzy with optimized fuzzy weight can combine the good adaptability and stability of fuzzy controller and high control accuracy of PID controller, and the great constant-speed braking accuracy can be achieved under the driving conditions of constant and varying road slopes, respectively.
AB - In order to improve the dynamic braking performance of the hydrodynamic retarder installed in a heavy-duty vehicle, the constant-speed braking strategy on the dynamic analysis of vehicle driving downhill is conducted combining the PID and fuzzy control methods. The accurate and detailed braking characteristics models of working chamber and hydraulic system are established and validated by experimental data. The parallel control of PID and fuzzy with certain weight combining the advantages of fuzzy controller and PID controller is proposed, designed and implemented. Then the influence of the fuzzy weight on dynamic braking performance is analyzed, and the weight value is further optimized by Full Factorial Design experimental method and gradient optimization algorithm. The results show that the parallel control logic of PID and fuzzy with optimized fuzzy weight can combine the good adaptability and stability of fuzzy controller and high control accuracy of PID controller, and the great constant-speed braking accuracy can be achieved under the driving conditions of constant and varying road slopes, respectively.
KW - Constant-speed braking
KW - Dynamic braking performance
KW - Hydrodynamic retarder
KW - Parallel control of pID and fuzzy
KW - Weight optimization
UR - http://www.scopus.com/inward/record.url?scp=85083030372&partnerID=8YFLogxK
U2 - 10.1109/FPM45753.2019.9035852
DO - 10.1109/FPM45753.2019.9035852
M3 - Conference contribution
AN - SCOPUS:85083030372
T3 - Proceedings of the 8th International Conference on Fluid Power and Mechatronics, FPM 2019
SP - 1175
EP - 1188
BT - Proceedings of the 8th International Conference on Fluid Power and Mechatronics, FPM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Fluid Power and Mechatronics, FPM 2019
Y2 - 10 April 2019 through 13 April 2019
ER -