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Digital Computer Applications to Process Control presents the developments in the application of digital computers to the control of technical processes. This book discusses the control principles and includes as well direct feedback and feed forward control as monitoring and optimization of technical processes. Organized into five parts encompassing 77 chapters, this book begins with an overview of the two categories of microprocessor systems. This text then discusses the concept of a sensor controlled robot that adapts to any task, assures product quality, and eliminates machine tending labor. Other chapters consider the ergonomic adaptation of the human operator's working conditions to his abilities. This book discusses as well the self-tuning regulator for liquid level in the acetic acid evaporator and its actual performance in production. The final chapter deals with algebraic method for deadbeat control of multivariable linear time-invariant continuous systems. This book is a valuable resource for electrical and control engineers.
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ISBN-13
978-1-4831-4649-2 (9781483146492)
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Schweitzer Classification
PrefaceSurvey Papers S1 Status of Hardware and Software for Microcomputers S2 Requirements for Successful Closed-Loop Optimization of Petroleum Refining Processes S3 Design Methods for Computer Controlled Real-Time Automation Systems S4 Aspects of Development and Verification of Reliable Process Computer Software S5 Computer Control in the Fertilizer IndustryCase Study Papers CS1 Computer Control for Industrial Robots CS2 Management and Optimization of an Extensive High-Pressure Gas Net-Work CS3 Digital Control of a Rotary Drier in the Sugar Industry CS4 The Design and Implementation of a Microcomputer System for the Control of a Submerged Arc Furnace CS5 The Application of a Distributed Control System to a Board Mill CS6 Computer-Controlled Start-Up and Shut-Down of Process Operations in Cement Plants CS7 Reduction Cell Automation Using Distributed Microprocessor SystemsTutorial Papers T1 Design of Man-Machine Interfaces T2 Parameter Adaptive Control Algorithms T3 Fibre-Optical Communication in Computer SystemsTechnical Sessions Applications A1: Chemical and Oil Industries A1.1 Self-Tuning Adaptive Control of Two Installations in Chemical Industry A1.3 Application of Self-Tuning Regulators to the Control of Distillation Columns A2: Cement Industry A2.1 Experimental Analysis and Modelling of a Rotary Cement Kiln A2.2 The Algorithms of Construction of Non-Conventional Digital Controllers A3: Energy and Power Systems I A3.1 The Process Computer Control System of the Hydroelectric Power Stations along the River Danube in Austria A3.2 Digital Governor Using Microcomputers for Modern Steam Turbines A3.3 On-Line Computer Control of a Nuclear Reactor Using Optimal Control and State Estimation Methods A4: Energy and Power Systems II A4.1 On-Line Computer System for Continuous Criticality Control of Some Nuclear Fuel Reprocessing Facilities A4.2 Reactor Start-Up and Shut-Down by Means of a Digital Hierarchical Decentralized Informational System A4.3 Multilevel Control of the Power Density Distribution in a Nuclear Reactor Core A5: Transportation and Traffic Control I A5.1 Measurement of Speed and Time Headway of Motor Vehicles with Video Camera and Computer A5.2 Designing for Change in the Urban Traffic Control Market A5.3 Digital Model Reference Adaptive Control with Applications to Ship's Steering A6: Transportation and Traffic Control II A6.1 Supervision and Control of Gas Transportation and Distributed Systems A6.2 Optimal Traffic Control for Automated Railway Systems A7: Heating and Climate Systems A7.1 Computer Optimization of Refrigeration Systems in a Textile Plant - A Case History A7.2 Energy Conservation in an Airconditioning Installation through a Microcomputer-Based Control System A8: Metallurgical Processes A8.1 A Mathematical Model to Control a Six Stand Hot Strip Finishing Mill A8.2 Quality Control in Metallurgy by Texture Analysis A8.3 Mould Level Control in Continuous Casting MachinesGeneral Aspects G1: Multivariable Systems G1.1 Algebraic Approach to Deadbeat Control of Multivariable Linear Time-Invariant Continuous Systems G1.2 Predictive Control Using Impulse Response Models G1.3 Self-Tuning Controller of MIMO Discrete Time Systems G2: Control Algorithms G2.1 A Sampled Data Controller for Processes with Time Delay and Load Disturbances G2.2 A Comparison of Some Time-(Sub) Optimal Control Algorithms for In-Line Computer Control G2.3 Evaluation of Self-Tuning Controllers for Distillation Column Control G3: Adaptive and Self-Tuning Digital Control G3.1 Adaptive Control of Rotary Drum Driers G3.