Limits of control performance: a model-based approach

控制性能的限制：基于模型的方法

• 批准号: 3522-2007
• 负责人: Shah, SirishLalji
• 金额: $ 3.02万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=473724
• 关键词: Limits; control; performance; model; based

Basic control has matured to the point where many advanced control algorithms are now standard products in most DCS systems. For many critical loops it is desired to obtain the highest level of control performance given a specific type of control strategy, e.g. Proportional, Integral and Derivative (PID) or Model-based Predictive Control (MPC). Such fundamental limits to control performance are due to specific process, actuator and sensor characteristics and can be expressed in terms of the bounds due to Bode's integral theorem on the sensitivity and complementary sensitivity functions. An understanding of these types of factors and their impact on the performance that can be attained with a 'well designed' controller are important factors and can most easily be described if the process model is known.

基本控制已经成熟，许多先进的控制算法现已成为大多数 DCS 系统的标准产品。对于许多关键回路，需要在给定特定类型的控制策略（例如，控制策略）的情况下获得最高水平的控制性能。比例、积分和微分 (PID) 或基于模型的预测控制 (MPC)。控制性能的这种基本限制是由于特定的过程、执行器和传感器特性造成的，并且可以根据关于灵敏度和互补灵敏度函数的波德积分定理的界限来表达。了解这些类型的因素及其对“精心设计”的控制器所能达到的性能的影响是重要的因素，如果过程模型已知，则可以最容易地进行描述。