Multi-Objective Optimization Design of Repetitive Pulse Magnetic Field System

Repetitive pulsed high magnetic field(RPHMF) technology is an important development trend of pulsed high magnetic field. However, the design parameters of the magnet and power supply are coupling and the drastic changes of the magnet resistance during the discharging period, brings a great challenge to the design of RPHMF. This paper proposes an optimal design method of RPHMF system based on a novel multi-objective algorithm, and analyzes the relationship between magnetic field, temperature field, structure field and design objects. This design method helps to solve the mismatch between magnet and circuit parameters by the circuit-magnet collaborative optimization method, instead of the traditional design method of a single pulse. In addition, a new multi-objective Runge-Kutta genetic algorithm is proposed, which helps to avoid the magnet current error of fitting by a fundamental approximation. In this paper, a 3 T/20 Hz RPHMF system for RBWO is designed as an example of the multi-objective optimization method, and accordingly the validity and feasibility of the method are verified.