Re-engineering of the Design Process of Automated Industrial Machinery through Multi-domain Hierarchical Optimization and Controller Performance

通过多域分层优化和控制器性能重新设计自动化工业机械的设计流程

• 批准号: 121681-2012
• 负责人: DeSilva, Clarence
• 金额: $ 2.26万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569219
• 关键词: Re; engineering; Design; Process; Automated

Typical industrial machines are complex and multi-domain dynamic systems. No single "best" approach exists for their design. Building on the existing knowledge, and the past research and experience in machinery development of the applicant and his trainees, the proposed research will make significant original contributions in the development of systematic procedures for the design of automated industrial machinery. Emphasizing the design optimization of multi-domain engineering systems, the developed methodologies will particularly target performance improvements with respect to their production, operation, and control performance. The research outcomes will be implemented in a prototype industrial machine in the applicant's laboratory and rigorously evaluated for further refinement and transfer to Canadian industry. The following research issues will be investigated: 1. Traditional procedures for machinery design are hierarchically separated into topological design and parametric design. Extending this concept, a mechatronic design quotient (MDQ) will be "structured" into a multi-layered hierarchy and methodologies will be developed for its optimization. 2. Dynamic models can significantly benefit the design process and control performance. The linear-graph (LG) approach will be enhanced for this purpose, models for this purpose, particularly as LG provides a direct correspondence to the physical component topology of the system. New basic elements that can benefit "modeling for design and control" will be explored and developed, including a mechanical element analogous to the "memoristor," a refined and general representation of an inertia element, a thermal element analogous to the "inductor," and various nonlinear, distributed-parameter and vector elements. Strategies for model-based "intelligent supervision" of design optimization will be developed. 3. Improved design can reduce the control burden in an automated industrial machine. In this context, "design for control performance" will be explored and integrated into the overall design methodology.

典型的工业机器是复杂的多域动态系统。他们的设计不存在单一的“最佳”方法。基于申请人及其学员在机械开发方面的现有知识、过去的研究和经验，拟议的研究将为自动化工业机械设计的系统程序的开发做出重大的原创贡献。所开发的方法强调多领域工程系统的设计优化，将特别针对生产、操作和控制性能方面的性能改进。研究成果将在申请人实验室的原型工业机器中实施，并经过严格评估，以进一步完善并转移到加拿大工业界。将调查以下研究问题： 1.传统的机械设计流程分为拓扑设计和参数化设计。扩展这一概念，机电一体化设计商（MDQ）将被“结构化”为多层层次结构，并为其优化开发方法。 2. 动态模型可以显着改善设计过程和控制性能。为此目的，将增强线性图 (LG) 方法和模型，特别是当 LG 提供与系统的物理组件拓扑的直接对应时。将探索和开发有益于“设计和控制建模”的新基本元件，包括类似于“存储器”的机械元件、惯性元件的精细和通用表示、类似于“电感器”的热元件以及各种非线性、分布参数和矢量元件。将开发基于模型的设计优化“智能监督”策略。 3.改进的设计可以减轻自动化工业机器的控制负担。在此背景下，“控制性能设计”将被探索并整合到整体设计方法中。