个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:东亚大学
学位:博士
所在单位:机械工程学院
学科:机械设计及理论
办公地点:大方楼8021#
电子邮箱:sxg@dlut.edu.cn
Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction
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论文类型:期刊论文
发表时间:2020-11-01
发表刊物:PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
收录刊物:SCIE
卷号:234
期号:22
页面范围:4353-4365
ISSN号:0954-4062
关键字:Large cable shovel; co-design; multidisciplinary design optimization; dynamic analysis
摘要:Large cable shovel is a complex mechatronic system used for primary production in the open pit mine. For such structure-control highly coupled system, the conventional sequential design strategy (structure design followed by the control optimization in sequence) cannot manage this interaction adequately and explicitly. In addition, the large cable shovel consists of large number of sub-systems and/or disciplines, which also poses challenges to the global optimal design for large cable shovel. To enhance large cable shovel's performance, an integrated design optimization strategy combining the structure-control simultaneous design (co-design) and the multidisciplinary design optimization is established in this study to perform the global optimization for the large cable shovel. In this proposed multidisciplinary co-design, the point-to-point trajectory planning method is extended to achieve the simultaneous optimization of the structure and control system. Besides the structure and control, the dynamics/vibration and energy consumption are taken into account in this multidisciplinary co-design. The objectives are to minimize the energy consumption per volume of ore and to minimize the excavating time. By comparing the multidisciplinary co-design and the conventional sequential design, it is found that the multidisciplinary co-design can not only make large cable shovel's structure more compact with relatively small vibration, but also generate more flexible control speeds by making the best of the power motors.