Modeling, Optimization and Control of Zinc Hydrometallurgical Purification Process

Part I Background
1. Introduction
2. Modeling and optimal control framework for solution purification process

Part II Modeling and optimal control of copper removal process
3. Kinetic modeling of the competitive-consecutive reaction system
4. Additive requirement ratio estimation using trend distribution features
5. Real-time adjustment of zinc powder dosage based on ORP

Part III Modeling and optimal control of cobalt removal process
6. Integrated modeling of cobalt removal process
7. Intelligent optimal setting control of cobalt removal process
8. Control of cobalt removal process under multiple working conditions

Part IV System development and future research
9. Control system
10. Conclusions and future research

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

Graduate students majoring in process control and automation; Control engineers in the process industries; Academic researchers/lecturers for teaching and research reference