An Introduction to Intelligent and Autonomous Control-Chapter 7: Expert Control

Tham khảo tài liệu 'an introduction to intelligent and autonomous control-chapter 7: expert control', công nghệ thông tin, quản trị web phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 7 Expert Control K. J. Astrom and . Arzen Department of Automatic Control Lund Institute of Technology Box 118 S-221 00 Lund Sweden Abstract. Expert control is a paradigm for controllers with a higher degree of automation than ordinary controllers. Such controllers perform several tasks that are normally done by operators process engineers and control engineers. The system is composed of ordinary algorithms which are combined with a knowledge-based system that captures some of the heuristics in design and operational practice. The chapter gives an overview of expert control systems the ideas they are based on and how they are implemented. Expert control may be viewed as a natural extension of conventional automation systems with controllers and relays for logic and sequencing. An interesting fact is that many less-talked-about features of conventional control systems as well as some of the unconventional control systems like fuzzy and neural control fit into the paradigm. It is thus possible to present these systems in a unified framework. 1. INTRODUCTION Practically all automation systems are intended to be used by humans. There is a trend to increase the degree of automation of control systems by including more and more of the functions performed by operators process engineers and control engineers into the the control systems. Typical examples are systems for autonomous vehicles systems for industrial automation and process control systems with automatic tuning and adaptation. There are several reasons for the increase in automation degree. It is highly desirable to make systems easier to use. The knowledge about how 164 INTELLIGENT AND AUTONOMOUS CONTROL to design commission and operate systems is increasing significantly and the computing power required for implementing more automated systems is becoming cost effective. One consequence is that words like intelligent sensors intelligent actuators and intelligent systems are being used to describe sensors .

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