《一种分级超结构换热器网络综合优化方法及其应用》.doc

一种分级超结构换热器网络综合优化方法及其应用 温卿云1, 罗 行1, 姚平经2, 杨杉杉3 (1. 上海理工大学 动力工程学院, 上海 200093; 2. 大连理工大学 化学工程学院, 大连 116012; 3. 同济大学 机械工程学院, 上海 200092) 摘要: 对分级超结构换热器网络模型的温度计算得出了一种通用的精确解方法,同时得到了显式解析解,并以这一解析解为基础,设计了以遗传算法和模拟退火算法为主,结合最速下降法的混合遗传算法,此外还在算法中引进精英策略和结构变异策略. 应用实例的计算结果显示了这一混合遗传算法对于换热器网络的参数和结构都具有良好的搜索能力. 关键词: 换热器网络; 综合优化; 遗传算法; 模拟退火算法 Synthesis of heat exchanger networks with a stage-wise superstructure model WEN Qing-yun1, LUO Xing1, YAO Ping-jing2, YANG Shan-shan3 (1. College of Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 2. College of Chemical Engineering, Dalian University of Technology, Dalian 116012, China; 3. College of Mechanical Engineering, Tongji University, Shanghai 200092, China) Abstract: A new analytical method was applied to a stage-wise superstructure model for the heat exchanger networks, by which the stream temperatures in the heat exchanger networks can be calculated explicitly and the constraints of mixed integer nonlinear programming (MINLP) model can be reduced dramatically. Based on the present analytical solution, a genetic algorithm coupled with simulated annealing algorithm and hill-climbing algorithm was developed. The elite strategy and structure mutation strategies were introduced in the algorithm, which enhance the structural search ability of the algorithm. Three examples from literatures were calculated with the proposed procedure, and the results show that the present hybrid genetic algorithm has a good ability for searching both parameters and structure. Key words: heat exchanger network; synthesis optimization; genetic algorithm; simulated annealing algorithm 两足步行椅机器人的设计与研究 曹 曦1, 赵群飞2, 马培荪1 (1. 上海交通大学 机械与动力工程学院, 上海 200030; 2. 上海交通大学 电子信息与电气工程学院, 上海 200030) 摘要: 介绍了一种两足步行椅机器人机械系统和控制系统的硬件设计,分析了载人两足机器人与一般两足机器人在安全性、载重量和干扰方面的不同. 并通过计算机仿真技术提高了设计的效率和可靠性,从而降低了系统级开发风险. 关键词: 步行椅机器人; 步态; 两足机器人 Design and study of a biped walking chair robot CAO Xi1, ZHAO Qun-fei2, MA Pei-sun1 (1. School of