Description
Modeling, Optimization and Control of Zinc Hydrometallurgical Purification Process provides a clear picture on how to develop a mathematical model for complex industrial processes, how to design the optimization strategy, and how to apply control methods in order to achieve desired production target. This book shares the authors' recent ideas/methodologies/algorithms on the intelligent manufacturing of complex industry processes, e.g., how to develop a descriptive framework which could enable the digitalization and visualization of a process and how to develop the controller when the process model is not available.- Presents an extended state-space descriptive framework for complex industrial processes- Presents scientific problems extracted from real industrial process- Proposes novel modeling and control tools for intelligent manufacturing of continuous industries
Table of Contents
Part I Background1. Introduction2. Modeling and optimal control framework for the solution purification processPart II Modeling and optimal control of the copper removal process3. Kinetic modeling of the competitive-consecutive reaction system4. Additive requirement ratio estimation using trend distribution features5. Real-time adjustment of zinc powder dosage based on fuzzy logicPart III Modeling and optimal control of the cobalt removal process6. Integrated modeling of the cobalt removal process7. Intelligent optimal setting control of the cobalt removal process8. Control of the cobalt removal process under multiple working conditionsPart IV System development and future research9. Intelligent control system development10. Conclusions and future research
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