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Development of Control System Design Supporting System Including Knowledge Based Treatment.

控制系统设计支持系统的开发，包括基于知识的处理。

基本信息

批准号：
63550320
负责人：
AKIZUKI Kageo
金额：
$ 1.6万
依托单位：
Waseda University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1988
资助国家：
日本
起止时间：
1988 至 1990
项目状态：
已结题

项目摘要

The following five basic subsystems are constructed in this research.1. 「Knowledge acquisition supporting system」 : This system is used as a tool for knowledge acquisition. It has functions to resister, add and revise the knowledge in easy format to use.2. 「Identification supporting system」 : As the supporting system for identification of discrete systems, selection of estimation method, model order and sampling time are available. This system has a special point in including the evaluation of the identification results.3. 「CAD system for control」 : This system is intended to support the design of MIMO control system. In this system many graphic functions are practically used. It has a special point in including robust design techniques.4. 「Supervisor of adaptive control system」 : the global convergence of STC is discussed and a new STC algorithm is derived. The selection rules of design parameters are made clear by many simulations.5. 「Control system design supporting system by knowledge base」 : For the controlled objects which are difficult to express in mathematical formulation, a knowledge base control system design supporting system is constructed. It is a learning system which acquires the knowledge for control in the process of operation. The construction of the controller, the representation of knowledge and learning are based in fuzzy theory.These five systems are connected organically and applied to support the design of control systems according to the priori information of the object.

本研究构建了以下五个基本子系统。“知识获取支持系统”：该系统被用作知识获取的工具。它具有对知识进行修改、添加和修改的功能，格式易于使用。“辨识支持系统”：作为离散系统辨识的支持系统，可选择估计方法、模型阶数和采样时间。该系统在包含鉴定结果评价方面有其独到之处。“用于控制的CAD系统”：该系统旨在支持MIMO控制系统的设计。在该系统中，实际使用了许多图形功能。它的特殊之处在于包含了健壮性设计技术。“自适应控制系统的监督者”：讨论了STC的全局收敛问题，并推导了一种新的STC算法。通过多次仿真，明确了设计参数的选取原则。“基于知识库的控制系统设计支持系统”：针对难以用数学公式表达的被控对象，构建了基于知识库的控制系统设计支持系统。它是一个在运行过程中获取控制知识的学习系统。控制器的构造、知识的表示和学习都以模糊理论为基础，将这五个系统有机地联系在一起，并根据对象的先验信息来支持控制系统的设计。