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Aerothermal System



PROJECT NUMBER
CP94-1174
PROJECT TITLE
PREDCON - ADAPTIVE AND PREDICTIVE CONTROL WITH PHYSICAL CONSTRAINTS
PARTICIPANTS
*Czech Republic INSTITUTE OF INFORMATION THEORY AND AUTOMATION Partner
*Russian Federation MOSCOW STATE INSTITUTE FOR STEEL & ALLOYS Partner
*Slovakia SLOVAK UNIVERSITY OF TECHNOLOGY Partner
*United Kingdom OXFORD UNIVERSITY Coordinator
ABSTRACT
Aerothermal System is a portable physical model of a thermal Distributed Parameter System (DSP). It can be applied in the research and testing of advanced control algorithms for DPSs before their implementation on real industrial processes. The system also supports practical education in courses of automatic control systems analysis and design. Key features include the ability to simulate Multi-Input, Multi-Output (MIMO) systems and one class of thermal DPSs.
KEYWORDS
Control system
Equipment
Modelling
Portability
Simulation
DOMAIN
Esprit domain Integration in manufacturing
SUMMARY
PREDCON is a series of software tools based on new control algorithms for industrial optimisation problems. PREDCON's "Aerothermal system" is a portable physical model of a thermal-type system with distributed parameters. The system was built in the Control Laboratory at Department of Automatic Control and Measurement of Slovak University of Technology mainly for physical simulation of Distributed Parameters Systems (DPSs). The aim of the system is research and testing of advanced control algorithms for DPSs before their implementation on real industrial processes. The system is also suitable for supporting practical education in courses of automatic control systems analysis and design. The priority of the system is its ability to simulate Multi-Input, Multi-Output (MIMO) systems and one class of thermal DPSs. A number of steps must be undertaken before a control algorithm can be successfully applied to a real environment. The main benefit of the laboratory system can be expected in obtaining first practical experiences with created control algorithms and in shortening a test phase before their implementation to a real industrial process. The main market for the result is universities and research laboratories.
BUSINESS OPPORTUNITIES
From the business point of view the main advantages can be expected in the area of research and development of new advanced control algorithms for Multi-Input, Multi-Output (MIMO) and Distributed Parameter System (DPS) industrial processes and in supporting practical training in this direction Essentially, the system allows to decrease costs planned for experiments with real industrial processes and permits testing of the algorithms in various marginal situations. It also enables to get first experiences with tuning of the algorithms parameters. In addition, it helps to overcome the drawbacks of non-sensitivity of mathematical theories to many practical control problems and supports their solutions. Academic and educational institutions and research laboratories represent potential markets for the system. No alternative system on the market is known to the authors.
TECHNICAL PERSPECTIVE
The main technical achievement of the system consists in its ability to illustrate MIMO and DPSs plants with:
  • effects of non-linearities.
  • influences of stochastic disturbances.
  • inputs and outputs cross interactions.
  • dependence of state variables on spatial coordinates.
CURRENT APPLICATIONS
The laboratory system is currently used in the Control Laboratory for research and development of MIMO and DPSs predictive and adaptive controllers and is used also for laboratory seminars in courses on System Identification and Adaptive Control. Especially the system is suitable for research and development of control algorithms for plants where the main problem is to stabilize a temperature field (profile) along a specified spatial domain (reheating furnaces, burning kilns etc). Several types of MIMO predictive control algorithms were successfully implemented and tested using this system.
TERMS AND CONDITIONS
The future exploitation of the results is expected in collaboration with companies supplying teaching equipment for university laboratories.



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