Abstract
The study on artificial intelligence (AI) methods for tuning of particle accelerators has been reported in many literatures. This paper presents tuning method for agent-based control systems of transport lines in the case of sensor/actuator failures. The method uses model-based tracking concept to relax the demand on sensor data. The condition for successful operation of the stated scheme is derived, and the concept is demonstrated through simulation by applying it to the model of microtron, transport line-1 and booster of indus accelerator. The results show that this approach is very effective in transport line control during sensor/actuator failures.
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R. P. Yadav graduated from Sir Chhotu Ram State College of Engineering (CRSCE), India in 2000, and completed one year orientation course for engineering graduates and science postgraduates (OECS) from Centre for Advanced Technology Training School, India in 2001. He is currently working as scientific officer in Accelerator Control Section at Raja Ramanna Centre for Advanced Technology, Indore, India. And he is also a Ph.D. candidate in Homi Bhabha National Institute, India.
His research interests include feedback control system, accelerator control, agent based feedback control systems, and intelligent control systems.
P. V. Varde received his Ph.D. degree from Indian Institute of Technology, India in 1996. He is currently working as scientific officer at Bhabha Atomic Research Centre (BARC), India. And he heads Safety Evaluation and Mampower Training and Development Section (SE and MTD Section). He is also a professor at Homi Bhabha National Institute (HBNI), India.
His research interests include probabilistic safety assessment (PSA) of research reactors, application of artificial intelligence (AI) tools like artificial neural network and knowledge based systems for developing probabilistic safety assessment (PSA) based systems for operations, and fault diagnosis of nuclear plant.
P. S. V. Nataraj received his Ph.D. degree in process dynamics and control from IIT Madras, India in 1987. He has been a professor in the Systems and Control Engineering Group at IIT Bombay since 1988. He is the chief coordinator of the control, automation, reliability, instrumentation, measurement and optimazation cell setup at IIT Bombay to foster interaction with the industry in the areas of control, automation, reliability, instrumentation, measurement, and optimization. He received a NASA/US Navy commendation and memento for the Best Applied Research Paper awarded at the International Symposium on Air Breathing Engines (ISOABE), Cleveland, Ohio, September 2003.
His research interests include robust and fractional order control, global optimization, reliable computing, parallel computing (GPU), and robust statistics.
P. Fatnani graduated from Pandit Ravishankar Shukla University, India in 1985 and completed one year orientation course for engineering graduates and science postgraduates (OECS) from Bhabha Atomic Research Centre Training School in 1986. He is currently working as scientific officer at Raja Ramanna Centre For Advanced Technology(RRCAT), India, and heads accelerator control section.
His research interests include accelerator control systems, agent technology, supervisory control, and data acquisition.
C. P. Navathe graduated from University of Pune in 1978, and he received M. Eng. degree from Devi Ahilya Vishwa Vidyalaya, Indore in 1997. He is currently working as scientific officer at Raja Ramanna Centre For Advanced Technology, India. And he heads Accelerator Controls and Beam Dynamics Division.
His research interests include microprocessor based systems, data acquisition, and high speed electronics.
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Yadav, R.P., Varde, P.V., Nataraj, P.S.V. et al. Model-based tracking for agent-based control systems in the case of sensor failures. Int. J. Autom. Comput. 9, 561–569 (2012). https://doi.org/10.1007/s11633-012-0680-y
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DOI: https://doi.org/10.1007/s11633-012-0680-y