【作者】 蔺晓风；

【导师】 史彦军；

【作者基本信息】 大连理工大学 ， 机械设计及理论， 2010， 硕士

【摘要】 本文针对工程机械优化设计,在国家基金(NO.50575039)的支持下,研究一类智能优化设计方法(改进微遗传算法),并将其集成到iSIGHT优化设计平台。工程机械的种类繁多,而且工程机械大多是在野外作业,因此对工程机械的质量、寿命和可靠性等的使用要求,以及生产成本、适应范围和维护费用等经济性要求也越来越高。工程机械的优化设计已经成为我国工程机械设计领域的发展趋势。当前工程机械优化设计问题具有设计变量多、设计目标函数复杂和约束条件多为非线性的特点。传统基于梯度的优化方法求解上述问题存在困难,使得智能类优化设计方法(比如遗传方法)得到应用。iSIGHT软件可以集成仿真代码并提供优化设计方案,为工程机械优化提供了技术支持。本课题为克服常规遗传算法计算量大、收敛速度慢等缺点,采用一种改进的微遗传算法(简称μGA-BLX):在交叉操作上采用了BLX-α算子,增强了算法的搜索能力；在变异操作上引入柯西变异算子,增强了种群多样性。并且在算法重新初始化阶段引入算法个体池,减少重新生成个体的盲目性。并将μGA-BLX集成到iSIGHT优化算法中,试图解决工程机械优化问题。本文主要研究工作如下(1)针对遗传优化的工作量大且收敛速度慢的缺点,经实验选择遗传算子,对微遗传算法进行改进,并通过行星传动变速机构的参数优化和链传动优化验证μGA-BLX的可行性。(2)针对门式起重机,给出基于iSIGHT的设计流程；通过阐述iSIGHT的Tcl语言结构,研究iSIGHT的二次开发技术,并给出μGA-BLX算法集成的关键技术。(3)基于上述集成的μGA-BLX算法。在iSIGHT环境下对挖掘机工作装置和装载机变速箱进行优化设计,通过它们优化实验结果来验证本文方法的可行性。更多还原

【Abstract】 In this paper, with the support of National Fund (NO.50575039), an intelligent optimization mehod (ie, an improved Miacro-Genetic Algorithm) was researched for Engineering Machinical Optimization Design, and was integerated into Optimal Design of iSIGHT.With many types of Engineering Machine, they mostly operations in field, so the quality of Engineering Machine, lifetime and reliability of servie requirements, production costs, the range of adaption and maintance costs of economiac demands have become more sophisticated. Engineering Machinical Optimization Design has been the trend of the field of Engineering Machine in China.Most of Engineering Mechaninical optimizations are problems with the characteristics of multi-variables, complex objectives and non-linear constraints. It is so difficult to solve these problems using Traditional Optimization Based on Gradient that Intelligent Algorithms are widely applied, e.g. Genetic Algorithm. ISIGHT can integrate simulational code, provide optimizational algorithms, and provide technical support for Engineering Mechanical Optimization.In this paper, presenting a improve Micro-Genetic Algorithm (μGA-BLX) to solve mechanical optimizations. TheμGA-BLX overcomes the disadvantages of Standard Genetic Algorithm (SGA), such as high computation, and slow convergence and so on. TheμGA-BLX with the Blend Crossover (BLX-a) and Cauchy Mutation enhanced the search and explore ability of GA. In addition, using the population pool in the restart phase reduced the blindness of regenerate population. TheμGA-BLX was integrated into optimization algorithm of iSIGHT, and was used to solove Engineering Mechaninical optimization. The main contents of this paper are as follows:(1) To overcome the disadvantages of Genetic Optimization, such as high computation, slow convergency and so on, an improved Micro-Gentic Algorithm was presented with the experimental selection of genetic operators. The results of the Planetary Gear Transmission optimization and Chain optimization showed the feasibility of theμGA-BLX.(2) ISIGHT Optimization Design Platform for Gantry Crane is studied, introduced process of iSIGHT Design, and described the TCL structure of iSIGHT. The second development of iSIGHT and the key technologies of Algorithm Integration are studied. (3) IntegratedμGA-BLX based on iSIGHT. UsingμGA-BLX to optimize excavator and loader gearbox in the iSIGHT, and analyzed the results to verify feasibility of the proposed algorithm.更多还原