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: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=388782
• 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.

基本控制已经成熟到许多先进的控制算法现在是大多数DCS系统中的标准产品的程度。对于许多关键回路，期望在给定特定类型的控制策略（例如比例、积分和微分（PID）或基于模型的预测控制（MPC））的情况下获得最高水平的控制性能。控制性能的这种基本限制是由于特定的过程，执行器和传感器的特性，并可以表示在由于波德的积分定理的灵敏度和互补的灵敏度函数的界限。了解这些类型的因素及其对性能的影响，可以达到一个“精心设计”的控制器是重要的因素，可以很容易地描述，如果过程模型是已知的。