COOPERATIVE CONTROL STRATEGIES IN DISTRIBUTED CONTROL SYSTEMS
Desta Mekonnen , Electrical and Computer Engineering, Mettu University, EthiopiaAbstract
This paper explores cooperative control strategies in distributed control systems (DCS), focusing on methods for achieving coordinated and efficient control across multiple interconnected nodes. Distributed control systems are widely employed in various applications, including industrial automation, smart grids, and networked robotic systems, where decentralized decision-making and communication among subsystems are essential. Cooperative control strategies enable distributed nodes to collaborate effectively, share information, and coordinate actions to achieve common objectives while adapting to dynamic environmental conditions. This study reviews existing cooperative control approaches, such as consensus algorithms, distributed optimization, and game theory-based methods, highlighting their advantages, limitations, and applications in different domains. Through a comprehensive analysis, this paper aims to provide insights into the design, implementation, and performance evaluation of cooperative control strategies in distributed control systems.
Keywords
Cooperative control, Distributed control systems, Consensus algorithms
References
J. G. Ziegler and N. B. Nichols, “Optimum settings for automatic controllers,” Transactions of American Society of Mechanical Engineers, Vol. 64, 1942, pp. 759-768.
G. H. Cohen and G. A. Coon, “Theoretical investigation of retarded control,” Transactions of American Society of Mechanical Engineers, Vol. 75, 1953, pp. 827-834.
Astrom, K J.;. Hagglund .T,1984, "Automatic tuning of simple regulators with specifications on phase and amplitude margins", Automatica, 20,645-651.
B. Wayne Bequette, "Process Control: Modeling, Design and Simulation", Prentice Hall (2003) of india.
Asriel U. Levin and Kumpati S. Narendra, "Control of nonlinear dynamical systems using Neural Networks- Part II : observability, identification and control", IEEE Transactions on Neural Networks, Vol. 7, No. 1, January 1996.
Simon Fabri and Visakan Kadirkamanathan, "Dynamic structure neural networks for stable adaptive control of nonlinear systems", IEEE Transactions on Neural Networks, Vol. 7, No. 5, September1996.
S. Nithya, Abhay Singh Gour, N. Sivakumaran, T. K. Radhakrishnan and N. Anantharaman, "Model Based Controller Design for Shell and Tube Heat Exchanger", Sensors and Transducers Journal, Vol. 84, Issue 10, October 2007, pp. 1677-1686.
P.Aravind, S.M.GirirajKumar ,“ Performance Optimization of PI Controller in Non Linear Process using Genetic Algorithm”, International Journal of Current and Engineering Technology, Vol. 3, Issue 5, ISSN: 2277 – 4106, pp, 1968-1972, December 2013
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