Multi-objective Optimization of Linear Proportional Solenoid Actuator


  • Shi Jie Wang State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hang Zhou, 310027, China
  • Zhi Dan Weng Ningbo HOYEA Machinery Manufacture Co. Ltd., Ningbo, 315100, China
  • Bo Jin State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hang Zhou, 310027, China


Genetic algorithm, linear proportional solenoid, multi-objective


This paper employed a multi-objective Genetic Algorithm (GA) process to optimize the structure parameters of Linear Proportional Solenoid (LPS). And designed objectives include magnitude of static push force, stability of push force with displacement in working range and push force to mass ratio. A twodimensional finite element analysis model is presented to reduce the large calculation time generated by GA process. The optimization process result of LPS shape parameters is obtained and the optimal LPS is manufactured. Through using a high-precision measuring device in the static push force test, a comparison result between conventional shape and optimal shape shows that the proposed optimization strategy is feasible.


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How to Cite

Shi Jie Wang, Zhi Dan Weng, & Bo Jin. (2020). Multi-objective Optimization of Linear Proportional Solenoid Actuator. The Applied Computational Electromagnetics Society Journal (ACES), 35(11), 1338–1339. Retrieved from