Microprocessor-Based Control Systems

ISBN-13: 9789027722874 / Angielski / Twarda / 1986 / 428 str.

Naresh K. Sinha; N. K. Sinha

Opis

Recent advances in LSI technology and the consequent availability of inexpensive but powerful microprocessors have already affected the process control industry in a significant manner.

Spis treści

1 Microprocessors in Control Systems — Outline of the Book.- Outline of the book.- References.- 2 Some Aspects of Microprocessor-Based Control and Identification.- Implementation of simple classical control techniques.- Motion control system.- On-line parameter identification in continuous dynamical systems.- References.- 3 Self-Tuning and Adaptive Control.- General plant and predictor models.- Predictive control.- Parameter estimation.- Self-tuning.- Implementation and use.- PID self-tuners.- Conclusions.- References.- 4 Adaptive Control of Synchronous Machine Excitation.- Adaptive control.- Adaptive controllers for power systems.- Microcomputer implementation of adaptive controller.- Experimental results.- Adaptive controller with variable forgetting factor and self-searching pole-shift.- Concluding remarks.- References.- 5 Microprocessor-Based System Identification by Signal Compression Method.- Principle of the signal compression method.- Example of the measuring procedure.- Applications.- References.- 6 Digital System Controllers for Exact Model Signal Tracking.- System models.- Step-invariant controller design.- Step-invariant design example.- Deadbeat controllers for step-varying systems.- Conclusion.- References.- 7 Microprocessor-Based Control of DC Motors.- System description.- Selection of the desired closed-loop pole positions.- Application.- Programming.- Conclusion.- References.- 8 Microprocessor-Based AC Motor Control.- Adjustable speed AC motor drives.- Signal processing using a microprocessor and peripheral ICs.- AC motor drives with microprocessors.- Conclusion.- References.- 9 Microprocessor-Based Nonlinear Controller for the Roll Motion of a Model Aircraft.- Roll motion equation.- Proposed nonlinear control scheme.- Microprocessor implementation of the controller.- Roll motion simulation results.- Conclusions.- Appendix A.- Appendix B.- References.- 10 A Microprocessor-Based Control System for a Glass Furnace.- Process description.- Modelling.- Control of the melting furnace.- Computer control systems in the glass industry.- A microcomputer system for a glass furnace.- Conclusions.- References.- 11 Multi-processor robot control system using Microprogramming.- Control of robotic system.- Multilevel structure of robot control system.- Architecture of multiprocessor robot control system.- Microprogrammable architecture of executive level of robot control system.- The algorithms of the microprogramme control of the robot control system executive level.- Conclusion.- References.- 12 Computer Control System for the Training Simulator.- Design of model following servo system.- Dynamics of simulator.- Experiment.- Conclusion.- References.- Appendix A.- 13 Microcontrol-Based Direct Numerical Control.- Principles of numerical control.- DNC system design and implementation.- Conclusions.- References.- 14 Microprocessor-Based Repetitive Control.- Principle of repetitive control.- Configuration and properties of modified repetitive control system.- Design principle and implementation of repetitive control system.- Application.- Conclusion.- References.- 15 Real-Time Programming Languages for Process Control.- Pascal.- Concurrent Pascal.- Modula-2.- Ada.- FORTH.- Conclusion.- References.- 16 Industrial Lan using Distributed Microprocessors.- Microprocessor hardware.- Kernel executive.- Conclusions and recommendations.- References.- 17 Microcomputer-Embedded Distributed Control of a Switching and Communication System.- The evolution of switching and communication systems.- Distributed control of a switching and communication system.- Control and implementation of the distributed communication system.- The dynamic aspect of the system.- Software structure of the distributed communication system.- Conclusion and future directions.- References.- 18 Microprocessor-based data reduction and Compression systems.- Data reduction via piecewise linear approximation algorithms.- Data compression via orthogonal transforms: The fast Walsh transform case.- Conclusions.- References.