Optimal Design of Robot Wireless Transmission System Based on Multi-Objective Genetic Algorithm

Wireless energy transmission technology is the key technology for robots to achieve lightweight, sustainable, and cable-free work. The magnetic coupling resonance wireless charging method, which must consider the impact of the working environment on the wireless energy transmission system, can be equivalent to the mutual inductance coupling circuit due to the eddy current effect of obstacles. In this paper, the transmission system was modeled by the coupled circuit theory, and the voltage gain coefficient transmission equation was derived. The characteristics of the wireless power transmission system under the influence of the eddy current effect was analysed. A coupling circuit for a wireless power transmission system was designed, and the system parameter values were obtained using MATLAB simulation. Through multi-objective genetic algorithm analysis, the parameter design of transmission system was optimized.