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Full Description
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computing methods, applications, philosophies, . . . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The autotune method of Astrom and Hagglund had a major impact on the hardware and structure of PID process controllers. However, despite a substantial body of theoretical analysis, progress in transferring the benefits of more general self-tuning methods to industrial devices and processes has been much slower. This volume by Dr's Stephan and Keuchel shows that this type of technology transfer can be achieved and that the more advanced adaptive controllers do give performance benefits over conventional industrial (three term) controllers. The volume also shows the requirements in hardware, the need for software skills and the engineering techniques required to achieve satisfactory results. We hope that by recording their engineering know-how more researchers and industrialists will be encouraged to tap the benefits of advanced self-tuning and adaptive control methods. July, 1993 Michael J. Grimble and M. A. Johnson, Industrial Control Centre, Glasgow, Scotland, U. K.
Contents
1 Preliminaries.- 1.1 Introduction.- 1.2 Past Work.- 1.3 Outline of Chapters.- 1.4 References.- 2 A Simple Model for a Thyristor Driven DC-Motor Considering Continuous and Discontinuous Current Modes . . ..- 2.1 Introduction.- 2.2 The DC-Motor Model and the Basic Equations.- 2.3 The Model of a Thyristor Driven DC-Motor.- 2.3.1 Armature Model.- 2.3.2 Complete Mean-Value Model.- 2.4 Experimental Results.- 2.5 Conclusion.- 2.6 References.- 3 The Experimental Laboratory System.- 3.1 Introduction.- 3.2 Construction.- 3.2.1 The Fundamental Unit.- 3.2.2 The Extension Unit.- 3.3 The System Parameters.- 3.4 References.- 4 The Microcomputers: Hardware and Software.- 4.1 Introduction.- 4.2 The Development System and the Single Board Computer ..- 4.3 The Monitor Program.- 4.4 The Interface to the CAD ACS System.- 4.5 The Support Software.- 4.6 Conclusion.- 4.7 References.- 5 Basic Theory of the Implemented Adaptive Control.- 5.1 Introduction.- 5.2 The Model Reference Adaptive Controller.- 5.3 The Improved Model Reference Adaptive Controller.- 5.4 The Adaptive Pole Placement Controller.- 5.5 Conclusion.- 5.6 References.- 6 Controllers Synthesis and Realization.- 6.1 Introduction.- 6.2 The Commercially Available Analog Controller.- 6.3 The Completely Adaptive Digital Scheme.- 6.4 The Completely Adaptive Hybrid Scheme.- 6.5 Conclusion.- 6.6 References.- 7 Experimental Results and Comparisons.- 7.1 Introduction.- 7.2 Experimental Modelling.- 7.3 Comparison of the Control Structures.- 7.4 The Inner Current Loop.- 7.5 The Cascade Speed Control Schemes.- 7.6 Conclusion.- 7.7 References.- 8 Survey and Conclusion.
