Optimal Design of Multiple Robust Control Systems

多种鲁棒控制系统的优化设计

• 批准号: 341886-2012
• 负责人: Nagamune, Ryozo
• 金额: $ 1.6万
• 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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=595511
• 关键词: Optimal; Design; Multiple; Robust; Control

Robust control theory is a tool to analyze and design feedback control systems by explicitly taking into account plant dynamics variations, such as changes of parameter values and operating conditions. In robust control, the larger the size of plant dynamics variations is, the worse the achievable robust performance becomes. Although efforts to reduce dynamics variations are always made in the design, manufacturing, and modeling stages, such variations are often impossible to eliminate completely. In applications that need high control performance, it is necessary to overcome the performance limitations imposed by the unavoidable dynamics variations. The multiple robust control method, which divides the variation space into subregions and assign one robust controller to each subregion, is a promising approach to overcome the limitations of existing theories.

鲁棒控制理论是一种分析和设计反馈控制系统的工具，它显式地考虑了对象的动态变化，如参数值和运行条件的变化。在鲁棒控制中，被控对象的动态变化越大，可实现的鲁棒性能越差。尽管总是在设计、制造和建模阶段努力减少动力学差异，但这种差异通常不可能完全消除。在需要高控制性能的应用中，有必要克服不可避免的动态变化带来的性能限制。多重鲁棒控制方法将变差空间划分为子区域，并为每个子区域分配一个鲁棒控制器，是克服现有理论局限性的一种很有前途的方法。