Research Initiation Award: Synthesis of Pseudo-Fuzzy Logic Controls for Chemical Processes

研究启动奖：化学过程伪模糊逻辑控制的综合

• 批准号: 9111244
• 负责人: Tomas Co
• 金额: $ 7万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-06-15 至 1993-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9111244&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Synthesis; Pseudo

Chemical processing systems are typically nonlinear and complex. Control operators in industry tend to rely on their own experience and heuristics (or simple common sense) to control a complicated process. Fuzzy logic control is an efficient method which can easily incorporate heuristics. Fuzzy logic controls are based on fuzzy set theory which is designed to allow quantitative measurements of qualitative descriptions such as tall, large, small, etc. used frequently in human reasoning. A fuzzy set is a set of numbers having membership values between 0 and 1, where 0 signifies weakest membership and 1 signifies strong membership. This research project will investigate pseudo-fuzzy logic controllers (PFLC) for the control of complex nonlinear chemical processes. PFLC is based on conventional fuzzy logic controllers but it translates heuristics into algebraic equations (fuzzy logic sets use decision tables) with tunable parameters. The methodology includes the derivation of pseudo-fuzzy logic models which incorporate confluence methods for obtaining model structure and modulating function methods for system identification. Heuristics are then translated to PFLCs. System performance can be analyzed using modern control methods such as frequency response, Lyapunov or H infinity methods. New rules can be obtained by explicitly solving for the control variables from pseudo-fuzzy logic models. To investigate the practical applications of PFLC, an experimental study of temperature control of a polymerization reactor will also be performed. The system will be the polymerization of polydimethylsiloxanes.

化学处理系统通常是非线性的， 复杂. 工业中的控制操作员往往依赖于他们的 自己的经验和知识（或简单的常识）， 控制复杂的过程。 模糊逻辑控制是一种 有效的方法，可以很容易地结合化学。 模糊逻辑控制是基于模糊集理论， 旨在允许定量测量定性 经常使用的形容词，如高、大、小等 在人类推理中。 一个模糊集是一组数字， 成员资格值介于0和1之间，其中0表示最弱 1表示强会员资格。 本研究计画将探讨伪模糊逻辑 控制器（PFLC）的控制复杂的非线性 化学过程。 PFLC是基于传统的模糊逻辑 控制器，但它将代数转换为代数 方程（模糊逻辑集使用决策表） 参数 该方法包括推导 融合方法的伪模糊逻辑模型 用于获得模型结构和调制函数的方法 用于系统识别。 然后将启发式翻译为 PFLC。 系统性能可以使用modern 控制方法，如频率响应，李雅普诺夫或H 无穷方法 新规则可以通过显式地 从伪模糊逻辑中求解控制变量 模型 为了研究PFLC的实际应用， 聚合反应温度控制的实验研究 反应堆也将进行。 该系统将是 聚二甲基硅氧烷的聚合。