基于多目标粒子群算法滑靴结构优化设计和仿真分析
Optimization Design and Simulation Analysis of Slipper Structure Based on Multi-Objective Particle Swarm Algorithm

液压变压器滑靴副底部结构，对于液压变压器总体效率的提高有着至关重要的作用，面对液压变压器复杂的运行工况，对滑靴副底部结构使用多目标粒子群优化算法，对滑靴副底部参数进行优化设计分析。首先通过建立液压变压器滑靴副复杂的受力分析图，建立滑靴副动力学方程，然后构建关于液压变压器的AMESim滑靴副泄漏和摩擦模型，随后建立多目标粒子群优化算法模型，以滑靴副泄漏量与摩擦转矩最小作为优化目标，随后对于滑靴底部参数进行寻优，最后通过优化算法得到优化后的滑靴底部参数就，通过模型仿真实验得到结果，优化后的滑靴底部结构参数对于降低滑靴副的泄漏量与摩擦转矩损失有较大的提高，极大的提高了滑靴副的效率。
The bottom structure of the slipper pair in a hydraulic transformer plays a crucial role in improving the overall efficiency of the hydraulic transformer. Faced with the complex operating conditions of the hydraulic transformer, a multi-objective particle swarm optimization algorithm is used to optimize and design the bottom structure of the slipper pair. Firstly, a complex force analysis diagram of the slipper pair in the hydraulic transformer is established, and the dynamic equations of the slipper pair are derived. Then, the AMESim leakage and friction models of the slipper pair in the hydraulic transformer are constructed. Subsequently, a multi-objective particle swarm optimization algorithm model is established, with the minimum leakage and friction torque of the slipper pair as the optimization objectives. The bottom parameters of the slipper pair are optimized, and the optimized bottom parameters of the slipper pair are obtained through the optimization algorithm. Finally, the results are obtained through model simulation experiments. The optimized bottom structure parameters of the slipper pair significantly reduce the leakage and friction torque losses of the slipper pair, greatly improving the efficiency of the slipper pair.