Advanced Strategies for Process Control and Manufacturing

过程控制和制造的先进策略

• 批准号: 8605233
• 负责人: Dale Seborg
• 金额: --
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-07-01 至 1989-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8605233&HistoricalAwards=false
• 关键词: Advanced; Strategies; Process; Control; Manufacturing

Adaptive control systems automatically adjust their controller settings to compensate for changes in the process or environment. It is attractive for difficult control problems where the process is poorly understood and/or changes in unpredictable ways. One type of adaptive controller uses self-tuning control (STC) mechanisms, which estimate model parameters on-line and adjust controller constants based on the current parameter estimates. Much work has been done in this area using linear models but little using non-linear models. A priori knowledge of a particular system's nonlinearities will be used to design STC strategies. The algorithms will be experimentally verified using a pilot size distillation column. Another complex area is systems which have multiple inputs and multiple outputs. Designing STC for such systems contitutes the second part of this work.

自适应控制系统自动调整其控制器设置以补偿过程或环境的变化。它对于难以理解过程和/或以不可预测的方式变化的困难控制问题很有吸引力。一种类型的自适应控制器使用自调节控制（STC）机制，该机制在线估计模型参数并根据当前参数估计调整控制器常数。在这个领域已经使用线性模型完成了很多工作，但很少使用非线性模型。特定系统非线性的先验知识将用于设计 STC 策略。该算法将使用中试规模的蒸馏塔进行实验验证。另一个复杂的领域是具有多个输入和多个输出的系统。为此类系统设计 STC 构成了这项工作的第二部分。