Development and verification of construction method of intelligent control system based on quantity fuzzy evaluation

基于数量模糊评价的智能控制系统构建方法开发与验证

• 批准号: 05650376
• 负责人: YASUNOBU Seiji
• 金额: $ 1.41万
• 依托单位: University of Tsukuba
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (C)
• 财政年份: 1993
• 资助国家: 日本
• 起止时间: 1993 至 1994
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-05650376/
• 关键词: Intelligent Control; Fuzzy Control; PID Control; Fuzzy Set; Hierarchical Control; Car Drive; Parking Control; 最適制御

Recently, the computer can handle easily skill person's control knowledge by using AI,Neuro and the fuzzy set theory. It is supported by digital computer's hardware and software. And application is advancing to working of the system for building in about the flexible intelligent control system for a real system. These intelligent control systems are designed from the description of the language of the control experience and modeling from the operation data. A lot of freedom degrees cause difficulty.In this project, fuzzy control and a relation to the conventional control theory were considered. The design support system of the control method was assumed to be a base. It had a design technique of the conventional control method. And this project aimed at the development of the design technique of the intelligent control system based on a quantitative fuzzy evaluation. In this project, the intelligent control system of two following themes was constructed and the experiment evaluation wa … More s done.(1) Some PID controllers were constructed based on the rough system object model. These control parameters are switched by fuzzy reasoning, and the adjusted hierarchical fuzzy control method was proposed. This method was applied to some plant models and the experiment device. As a result of the simulation and the experiment, the control system which was able to achieve the set preferable response was able to be constructed.(2) The drive knowledge in the parking control of the car was built in. The intelligent control system constructed based on the evaluation of a quantitative target (position error and direction error) , and the developed system evaluated performance by the simulation. In addition, this control system was installed in model cars of 1/10 scales and the running experiment was done. As a result, it was confirmed that the control system was able to achieve a good drive.In this project, the knowledge of the response and the control engineer's knowledge concerning the preferable attainment target with a object system as a result of this research was confirmed. Intelligent control system design was able to be confirmed in the extension of an conventional control technique by the thing given as an evaluation index based on the fuzzy set by which vagueness was able to be treated quantitatively. Less

近年来，人工智能、神经网络和模糊集理论的应用使计算机能够方便地处理技术人员的控制知识。它有数字计算机的硬件和软件支持。并以一个真实的系统为例，介绍了柔性智能控制系统在建筑工程中的应用。这些智能控制系统是根据控制经验的语言描述和运行数据建模而设计的。本课题考虑了模糊控制及其与传统控制理论的关系。以控制方法的设计支持系统为基础。它具有传统控制方法的设计技术。本项目旨在发展基于定量模糊评价的智能控制系统的设计技术。本课题构建了以下两个主题的智能控制系统，并进行了实验评价 ...更多信息 好了。(1)基于粗糙系统对象模型构造了PID控制器。通过模糊推理对这些控制参数进行切换，提出了调整后的递阶模糊控制方法。该方法已应用于部分植物模型和实验装置中。作为仿真和实验的结果，能够构建能够实现设定的优选响应的控制系统。(2)汽车停车控制中的驾驶知识是内置的。智能控制系统的基础上构建的定量指标（位置误差和方向误差）的评价，和开发的系统评估性能的仿真。另外，将该控制系统安装在1/10缩尺的模型汽车上进行了运行试验。在本项目中，确认了作为本研究结果的对象系统的响应知识和控制工程师关于优选实现目标的知识。智能控制系统的设计能够在常规控制技术的扩展中通过基于模糊集的作为评价指标给出的事物来确认，通过该模糊集能够定量地处理模糊性。少

项目成果

安信誠二,他1: "予見ファジィ制御による自動車の駐車制御" 第19回知能システムシンポジュウム資料.

Seiji Yasunobu等1：“使用预测模糊控制的汽车停车控制”第19届智能系统研讨会资料。

Yasunobu, S.et.al.: ""Parking Control based on Hierarchical Fuzzy Control"" SICE'94, July 26-28, Tokyo. 635-636 (1994)

Yasunobu, S.et.al.：“基于分层模糊控制的停车控制”SICE94，7 月 26-28 日，东京。

安信誠二,他1: "階層型ファジィ制御による自動車の車庫入れ運転操作" 第33回計測自動制御学会学術講演会(SICE'95). 635-636 (1994)

Seiji Yasunobu 等人 1：“使用分层模糊控制的汽车车库操作”第 33 届仪器与控制工程师学会学术会议 (SICE95) (1994)。

安信誠二,他1: "ファジィ推論によるPIDコントローラ切り換え制御と自動調整アルゴリズムの提案" 日本ファジィ学会関東支部第4回ワークショップ論文集. (印刷中). (1995)

Seiji Yasunobu 等人 1：“使用模糊推理的 PID 控制器切换控制和自动调节算法”日本模糊学会关东分会第四届研讨会论文集（1995 年）。

Yasunobu, S.et.al.: ""Proposal and Evaluation of a Combined PID Control & Fuzzy Reasoning Hierarchical Fuzzy Control Method"" 10th Fuzzy System Symposium. 435-436 (1994)

Yasunobu, S.et.al.：“组合 PID 控制的建议和评估