Real Time Microcomputer Control of Industrial Processes - Softcover

Inhaltsangabe

Section I Methodology: Hardware, Software and Systemic Topics.- 1 Microprocessors-The First Twelve Years.- 1. Introduction.- 2. 4-bit Microprocessors.- 3. 8-bit Microprocessors.- 4. 16-bit Microprocessors.- 5. 32-bit Microprocessors.- 6. System Issues.- 7. Multiprocessor Capabilities.- 8. Special-purpose Processors.- 9. Conclusion.- References.- 2 Introduction to Real-Time System Software.- 1. Introduction.- 2. The Real-Time Program Environment.- 3. Task Scheduling.- 4. Memory Management.- 5. The Input-Output Sub-Systems.- 6. Programming Languages.- 7. System Performance Monitoring.- References.- 3 Digital Control Algorithms.- 1. Introduction.- 2. Process Model.- 3. Process Control Strategies.- - Controllers for SISO Systems.- - Controllers for MIMO Systems.- - Autotuning.- - Expert Control.- References.- 4 Estimation and Signal Processing Algorithms.- 1. Introduction.- 2. Stochastic Signal Models.- 3. The Kalman Filtering and Prediction Techniques.- 4. Linear Prediction Based on the CARMA Model.- 5. Sequential Parameter Estimation.- 6. Adaptive Prediction.- References.- 5 Configuration of Distributed Control Systems.- 1. Introduction.- 2. Control System Evolution.- 3. Distributed Control System.- 4. Criteria for System Segmentation.- 5. Task Allocation in a Distributed Environment.- References.- 6 Modelling and Simulation.- 1. Introduction.- 2. Mathematical Modelling.- 3. Validation of Models.- 4. Solution Techniques.- 5. Simulation Languages and Simulation Methodology.- 6. Simulation Software for Industry.- 7. Simulation Hardware.- 8. Multiprocessors in Simulation.- 9. Simulation of Digital Control System Performance.- 10. The Future of Simulation.- References.- Appendix: Process Transient Analysis - An Industrial Case Sudy (T. Aio, M. Tanaka).- Section II Real Time Applications.- 7 A Low Cost Self-Adaptive Microprocessor Controller: Application to Heating and Ventilation Control.- 1. Introduction.- 2. System Hardware.- 3. System Software.- 4. Applications.- 5. Real Life Experiments.- 6. Conclusions.- References.- 8 Self-Adaptive Multi-Microprocessor Control of Cutter Suction Dredging Ships.- 1. Introduction.- 2. Cutter Suction Dredgers.- 3. Modelling and Identification.- 4. Multiprocessor Simulator.- 5. Adaptive Control.- 6. Conclusions.- Acknowledgements.- References.- 9 Advanced Control in Thermal Power Plants.- 1. Introduction.- 2. Present Status of Automation in Thermal Power Plants.- 3. Advanced Technique for the Improvement of Dynamic Performance.- 4. Advanced Technique for Maintenance and Operation.- 5. Some Experiments of Actual Plant Control.- 6. Future of Advanced Control System.- References.- 10 Status Report on Real-Time Control in Industries: Electric Power Systems.- 1. Introduction.- 2. Power System Control Concept.- 3. Control System Configuration.- 4. Theory and Practice of On-line Automatic Control.- 5. Security Control in Abnormal Operating Conditions.- 6. Closing Remarks.- References.- 11 Status Report on Real Time Control in Steel Industry.- 1. Introduction.- 2. Control System Configuration.- 3. Microprocessor Based Fully Digitized Speed Control for Motor Drives.- 4. Advanced Control System and its Application.- 5. Conclusions.- References.- 12 Process Monitoring and Control of Gas Pipeline Networks.- 1. Introduction.- 2. High Pressure Gas Transmission Networks.- 3. SCADA and Telemetry System.- 4. Basic Process Monitoring and Control Functions.- 5. Advanced Dispatching Support.- 6. Simulation.- 7. State Estimation.- 8. Fault Detection and Diagnosis.- 9. Model Parameter Estimation.- 10. Load Prediction.- 11. Optimal Network Control.- 12. Outlook to Knowledge-Based Process Monitoring and Control.- References.- 13 Real Time Computer Control of Cement Industry.- 1. Introduction.- 2. Cement Manufacturing Equipment.- 3. Control System in Cement Factory.- 4. Optimal Temperature Control of Kiln by AR Model.- 5. RAM Material Blending Control with Statistical Modification.- 6. CRT Display Applications.- 7. Electri

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