TY - JOUR
T1 - A Whole Process Control Strategy of Free-piston Linear generator
AU - Wei, Yidi
AU - Zuo, Zhengxing
AU - Wang, Jiayu
AU - Jia, Boru
AU - Feng, Huihua
AU - Zhang, Zhiyuan
N1 - Publisher Copyright:
© 2024, Scanditale AB. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Free-piston linear generator has become one of the new forms of energy conversion devices in the future due to its compact structure, multi-fuel adaptability, and easy modular arrangement. Based on system dynamics, thermodynamics and electromagnetism, this paper proposes the whole working process control structure of the free-piston linear generator, including the top control/monitor layer, the process control strategy layer and bottom actuator control layer, and carried out the control strategy of the system starting process, regulating process and stable generating process. In order to achieve the starting requirements, a mutiobjective global optimization strategy based on neural network is established. Aiming at the problem of misfire during stable operation, a fast online identification and treatment based on motion characteristics-cylinder pressure is proposed, and the generator control strategy is changed to enable the system to quickly stabilize. In view of the above strategies, the simulation platform of the system is proposed, to verify the feasibility of each process control strategy of the system.
AB - Free-piston linear generator has become one of the new forms of energy conversion devices in the future due to its compact structure, multi-fuel adaptability, and easy modular arrangement. Based on system dynamics, thermodynamics and electromagnetism, this paper proposes the whole working process control structure of the free-piston linear generator, including the top control/monitor layer, the process control strategy layer and bottom actuator control layer, and carried out the control strategy of the system starting process, regulating process and stable generating process. In order to achieve the starting requirements, a mutiobjective global optimization strategy based on neural network is established. Aiming at the problem of misfire during stable operation, a fast online identification and treatment based on motion characteristics-cylinder pressure is proposed, and the generator control strategy is changed to enable the system to quickly stabilize. In view of the above strategies, the simulation platform of the system is proposed, to verify the feasibility of each process control strategy of the system.
KW - free-piston linear generator
KW - misfire monitoring
KW - starting multi-objective optimization
KW - two-stage rectification strategy
KW - whole working process control structure
UR - http://www.scopus.com/inward/record.url?scp=85190775212&partnerID=8YFLogxK
U2 - 10.46855/energy-proceedings-10973
DO - 10.46855/energy-proceedings-10973
M3 - Conference article
AN - SCOPUS:85190775212
SN - 2004-2965
VL - 41
JO - Energy Proceedings
JF - Energy Proceedings
T2 - 15th International Conference on Applied Energy, ICAE 2023
Y2 - 3 December 2023 through 7 December 2023
ER -