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

近年来，利用人工智能、神经网络和模糊集理论，计算机可以很容易地处理技术人员的控制知识。它由数字计算机的硬件和软件支持。并在实际系统的柔性智能控制系统中的应用正在推进到系统的工作中。这些智能控制系统是从控制经验的语言描述和运行数据的建模来设计的。在本课题中，考虑了模糊控制以及与常规控制理论的关系。以该控制方法的设计支持系统为基础。它采用了常规控制方法的设计技术。本项目旨在开发基于定量模糊评价的智能控制系统设计技术。在本项目中，构建了以下两个主题的智能控制系统，并对…进行了实验评估在此基础上，进一步研究了S的工作。(1)基于粗糙系统对象模型，构造了多个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。该方法在一些植物模型和实验装置上得到了应用。通过仿真和实验，能够构建出能够达到设定的较好响应的控制系统。(2)构建了汽车停车控制中的驾驶知识。构建了基于量化指标(位置误差和方向误差)评价的智能控制系统，并通过仿真对系统的性能进行了评价。此外，将该控制系统安装在1/10比例尺的模型车上，并进行了行车试验。在本项目中，确认了响应知识和控制工程师对作为研究结果的对象系统较好地实现目标的知识。以模糊集为评价指标，在常规控制技术的扩展中确定智能控制系统的设计，从而能够对模糊性进行量化处理。较少

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