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IEEE ICAL 2007 Conference
Plenary Talk2

 
 

A hybrid intelligent optimal control method
for the whole production line and applications

Tianyou Chai, Ph.D

Member of the Chinese Academy of Engineering
Chair Professor of Northeastern University, China

Abstract:
       With ever increased needs for an improved product quality, production efficiency, and cost in today¡¯s globalized world market, advanced process control should not only realize the accuracy of each control loops, but also has the ability to achieve an optimization control of global production indices that are closely related to the improved product quality, enhanced production efficiency and reduced consumption. As a result, the optimal control for the global production indices has attracted an increased attention of various process industries. The optimal control of the global production indices requires an optimal combination of the production indices, technical indices and the operation of each control loops. In this paper, a hybrid intelligent control strategy is proposed for process industries. This new strategy consists of three control layers, namely the intelligent optimization of the global production indices, the intelligent optimal control of the technical indices and the intelligent process control,. The intelligent optimization of the global production indices is composed of the setting model of the technical indices, the predictor of the global production indices, the feedback and prediction analysis adjustment models. The intelligent optimal control of the technique indices consists of the setpoints model of control loops, the prediction of technical indices, the feedback and feedfoword regulators. The intelligent process control is then composed of normal decoupled PID controllers, decoupled nonlinear PID controllers with a neural network feedforword compersator for un-modeled dynamics and a switching mechanism. Such a control structure can automatically transfer the global production indices into a required number of setpoints for each control loops.Moreover, when the system is subjected to either operating point changes or unexpected disturbances, setpoints of the control loops can be adaptively updated and the outputs of the control loops are made to follow the updated setpoints so that the global production indices can be controlled into their targeted ranges to realize the optimization control of the global production indices. The proposed method has been successfully applied to the largest hematite minerals processing factory in China, where remarkable social and economic benefits have been achieved. Such an industrial application has successfully demonstrated the performance of the proposed optimal control method which will therefore has a high potential for further and much wider applications.

 

Dr Tianyou Chai received his Ph. D. degree in Control Theory and Engineering from NortheasternUniversity in 1985. Since then he has been with the Center of Automation at NortheasternUniversity, where he became a Professor in 1988. He is the founder and Director of the Center of Automation, which became a National Engineering and TechnologyResearchCenter in 1997. He has served as a member of Chinese National Disciplinary Appraisal Group (since 1992), and a Vice-Director of Committee of Experts of Advanced Manufacturing and Automation in National 863 High-Tech Program during 2001-2006. In 2003, he was elected as a member of ChineseAcademy of Engineering.Dr. Chai¡¯s research interests include adaptive control, intelligent decoupling control, integrated plant control and system and the development of control technologies with applications to various industrial processes.Over the years, he has been a Principle of Integrator for more than 30 research projects, including the National Fundamental Research Program, State Key Program of National Natural Science, National High-Tech Program, National Key Technology Plan, National High-Tech Industrialization Priority Project and Key Automation Engineering of Enterprises. He has made a number of important contributions in control technologies and applications. These include multivariable adaptive decoupling control theory and applications, innovative intelligent decoupling control technology, the development of a hybrid intelligent optimal control technique for automation systems, which has been successfully applied to process industries such as iron and steal, minerals processing, nonferrous metals, electric power, resulting in enormous economic benefits.

Dr. Chai¡¯s research interests include adaptive control, intelligent decoupling control, integrated plant control and system and the development of control technologies with applications to various industrial processes.Over the years, he has been a Principle of Integrator for more than 30 research projects, including the National Fundamental Research Program, State Key Program of National Natural Science, National High-Tech Program, National Key Technology Plan, National High-Tech Industrialization Priority Project and Key Automation Engineering of Enterprises. He has made a number of important contributions in control technologies and applications. These include multivariable adaptive decoupling control theory and applications, innovative intelligent decoupling control technology, the development of a hybrid intelligent optimal control technique for automation systems, which has been successfully applied to process industries such as iron and steal, minerals processing, nonferrous metals, electric power, resulting in enormous economic benefits.

For his contributions, he has won 3 prestigious awards of National Science and Technology Progress, 10 first-class awards of Science and Technology Progress from various Ministries of China and LiaoningProvince.He also received Technological Science Progress Award from Ho Leung Ho Lee Foundation in 2002, Science and Technology Honor Prize of Liaoning Province in 2003, and honor of ¡°National Advanced Worker¡± in 2005, respectively.

Dr. Chai has published two monographs and over 150 publications including more than 50 peer reviewed international journal papers and about 100 international conference papers. He has been invited to give 10 plenary speeches in international conferences of IFAC and IEEE. He was a member of IFAC Technical Board and the chairman of IFAC Coordinating Committee on Manufacturing and Instrumentation during 1996-1999. He is Editor-in-Chief of Journal of Control Engineering and on editorial board of a number of technical journals.

 
 
 
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