| 基于粒子群算法的牵引逆变器多目标优化控制策略 |
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| 引用本文： | 朱琴跃,戴维,谭喜堂,李朝阳,解大波.基于粒子群算法的牵引逆变器多目标优化控制策略[J].同济大学学报(自然科学版),2020,48(2):287-295. |
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| 作者姓名： | 朱琴跃 戴维 谭喜堂 李朝阳 解大波 |
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| 作者单位： | 同济大学 电子与信息工程学院，上海201804,同济大学 电子与信息工程学院，上海201804,同济大学 电子与信息工程学院，上海201804,同济大学 电子与信息工程学院，上海201804,同济大学 电子与信息工程学院，上海201804 |
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| 基金项目： | 国家自然科学基金（51777141） |
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| 摘 要： | 为解决中点钳位型三电平牵引逆变器存在的中点电位不平衡以及由此而引起的输出电流谐波无法同时得到有效控制问题,提出了一种基于粒子群算法的牵引逆变器多目标优化控制策略。首先建立谐波抑制和中点电位平衡控制变量的数学模型;然后以输出电流谐波总畸变率最小为目标,以中点电位波动幅值尽可能小为约束条件,采用罚函数法构建了多目标优化模型。通过粒子群算法进行优化求解,实现在有效抑制输出电流谐波的同时最大程度降低中点电位波动幅值。仿真和实验结果验证了所提多目标优化控制策略的有效性。
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| 关 键 词： | 谐波畸变率 中点电位波动 多目标优化 粒子群算法 |
| 收稿时间： | 2019/1/29 0:00:00 |
| 修稿时间： | 2020/1/12 0:00:00 |
Multi-objective Optimization Control Strategy of Traction Inverter Based on Particle Swarm Algorithm |
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| Institution: | School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China,School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China,School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China,School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China and School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China |
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| Abstract: | In order to solve the problem that the unbalance of neutral-point voltage and output current harmonics cannot be effectively controlled at the same time, a multi-objective optimal control strategy for three-level traction inverter based on particle swarm optimization was proposed in this paper. Firstly, a mathematical model of harmonic suppression and neutral-point voltage balance control was established. Then the multi-objective optimization model was built with the idea of penalty function. The object function of the optimum problem was to minimize the total harmonic distortion rate of the output currents. And the key constraint was to make the neutral-point voltage fluctuation as small as possible. Finally, the PSO algorithm was applied to solve the optimum problem, and the goal of suppressing the output current harmonics and reducing the neutral-point voltage fluctuation was achieved. Simulation and experimental results verify the effectiveness of the proposed multi-objective optimal control strategy. |
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