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Optimization Design of Electromagnetic Relay Based on Improved Particle Swarm Optimization Algorithm

机译:基于改进粒子群算法的电磁继电器优化设计

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T75 optimal design of the relay is in ensuring reliable of electromagnetic relay absorbed and released by changing the premise of structural parameters and materials to achieve energy saving purposes and reduce the energy of the collision core, to reduce cost and improve the mechanical and electrical life of the relay of the magnetic holding. In the optimization design of electromagnetic relay, the objective function and the constraint function are highly nonlinear and thus to be a optimization problem to the target. This paper proposed a improved genetic algorithms to optimal design of the control and structure parameters of the electromagnetic relay. In the initial optimization stage, the particle swarm optimization algorithm(PSO) was used to obtain the stage optimum solution by its fast convergence ability. The optimal solution obtained by PSO is used as the initial population of genetic algorithm, and then using genetic algorithm of global best search capabilities to get the optimal solution. Taking a certain type of magnetic latching relay as an example to optimize the design. The experimental result shows that the optimized electromagnetic relay has better dynamic characteristics and comprehensive economic indicators.
机译:T75继电器的最佳设计是在通过改变结构参数和材料的前提下,确保电磁继电器被吸收和释放的可靠性,从而达到节能的目的,减少碰撞铁心的能量,降低成本,提高机械和电气寿命。磁性保持的继电器。在电磁继电器的优化设计中,目标函数和约束函数是高度非线性的,因此成为目标的优化问题。提出了一种改进的遗传算法,对电磁继电器的控制和结构参数进行了优化设计。在初始优化阶段,利用粒子群优化算法(PSO)具有快速收敛的能力来获得阶段最优解。将PSO获得的最优解用作遗传算法的初始种群,然后使用具有全局最佳搜索能力的遗传算法来获得最优解。以某类型的磁保持继电器为例,对设计进行优化。实验结果表明,优化后的电磁继电器具有较好的动态特性和综合的经济指标。

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