Improved Particle Swarm Algorithm Based Multi-objective Optimization of Diaphragm Spring of the Clutch

IF 0.6 4区 工程技术 Q4 MECHANICS Mechanika Pub Date : 2022-10-21 DOI:10.5755/j02.mech.27984
Junchao Zhou, Yihan Liu, Jilong Yin, J. Gao, Naibin Hou
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Abstract

Considering that diaphragm spring is the core component of the mechanical clutch, the optimization to which plays practical roles in engineering practices, the multi-objective optimization model for the diaphragm spring of the clutch is established in this article. Aiming at the difficulty in local extremum due to pre-maturity of inertia weight and treatment on nonlinear constraint condition of standard particle swarm optimization (PSO), the improved particle swarm algorithm(Improved PSO) based on dynamic weight and hierarchical penalty function in consideration of the degree of congestion is proposed in this article to improve the original particle swarm algorithm. According to the results of calculating examples, the improved particle swarm algorithm can achieve better global searching ability and convergence ability; when compared with the calculating results of the penalty function algorithm, the genetic algorithm and the NSGA-II algorithm, the pressing force of the diaphragm spring with the new algorithm is increased by 3.24%, and the steering separation force is decreased by 20.09%. The diaphragm spring has better pressing force stability and operating lightness, verifying the correctness of the model and the algorithm proposed in this article.
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基于改进粒子群算法的离合器膜片弹簧多目标优化
考虑到膜片弹簧是机械离合器的核心部件,对其进行优化在工程实践中具有实际意义,本文建立了离合器膜片弹簧的多目标优化模型。针对标准粒子群算法(PSO)由于惯性权值的早熟而难以达到局部极值的问题以及对非线性约束条件的处理,提出了一种基于动态权值和考虑拥塞程度的分层惩罚函数的改进粒子群算法(improved particle swarm algorithm, PSO),对原粒子群算法进行改进。算例结果表明,改进的粒子群算法具有较好的全局搜索能力和收敛能力;与罚函数算法、遗传算法和NSGA-II算法的计算结果相比,新算法的膜片弹簧压紧力提高了3.24%,转向分离力降低了20.09%。膜片弹簧具有较好的压力稳定性和操作轻便性,验证了本文模型和算法的正确性。
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来源期刊
Mechanika
Mechanika 物理-力学
CiteScore
1.30
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The journal is publishing scientific papers dealing with the following problems: Mechanics of Solid Bodies; Mechanics of Fluids and Gases; Dynamics of Mechanical Systems; Design and Optimization of Mechanical Systems; Mechanical Technologies.
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