Multi-objective design optimization of an engine accessory drive system with a robustness analysis |
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| Affiliation: | 1. Department of Mechanics and Engineering Science, Sichuan University, Chengdu 610065, China;2. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China;3. Department of Mechanical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USA;1. Dublin City University, Dublin, Ireland;2. University of Oslo, Oslo, Norway;1. State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Shenyang 110200, PR China;2. Department of Mechanical Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;3. Dalian University of Technology, Dalian, PR China;1. School of Science, University of New South Wales, Canberra, Australia;2. I.E. Tamm Theory Department, P.N. Lebedev Physical Institute of the Russian Academy Sciences, 53 Leninsky Prospect, 119991 Moscow, Russia;1. Key Lab of Science and Technology on Hydrodynamics, China Ship Scientific Research Center, Wuxi, 214082 Jiangsu, People’s Republic of China;2. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, 201100 Shanghai, People’s Republic of China;1. Zhejiang Gongshang University, Zhejiang, China;2. Queensland University of Technology, Queensland, Australia;3. Northeast China Normal University, Jilin, China;4. Wenzhou University, Zhejiang, China;1. Laboratoire Quartz EA 7393, École Supérieure d’Ingénieurs en Génie Électrique, Productique et Management Industriel, Cergy Pontoise Cedex, France;2. Laboratoire de Recherche en Eco-innovation Industrielle et Énergétique, École Supérieure d’Ingénieurs en Génie Électrique, Productique et Management Industriel, Cergy Pontoise Cedex, France |
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| Abstract: | Designing a good engine accessory drive system becomes a hard work with its increasingly complicated configuration and high demands on its dynamic characteristics. In this work, a hybrid mutation particle swarm optimization (HMPSO) algorithm is presented to optimize the key structure parameters of an engine accessory drive system for its vibration control. The superiority of the HMPSO algorithm against several other concerned metaheuristic algorithms in terms of solution quality and stability are verified by non-parametric statistical tests on ten benchmark functions. The design problem of the engine accessory drive system is a multi-objective optimization problem; the weighted sum method and main target method are applied to convert it to a single-objective one. Optimization on an example engine accessory drive system using the HMPSO algorithm demonstrates obvious improvement in system vibration after optimization. A robustness analysis is conducted to identify the robustness of dynamic responses of the engine accessory drive system with respect to small variations of the design variables relative to the optimal design in the design space, and suggestions on design of an engine accessory drive system are given according to it. |
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