• Ashish Kumar Jain

In this paper, the different optimization algorithms of Particle Swarm Optimization (PSO) are developed to choose best solution among many possible groups of solutions, by minimizing the different fitness functions. In these algorithms, the different performance indices namely Integral Time Absolute Error (ITAE), Integral Square Error (ISE) and Integral Time Square Error (ITSE) are chosen as the fitness functions. The step responses of original and reduced order models thus obtained are compared to show the effectiveness of the algorithms developed. Finally the controller is designed corresponding to each reduced order model obtained to meet the desired specifications of the pantograph control system.

Particle Swarm Optimization, Model Order Reduction, Integral Time Absolute Error (ITAE), Integral Square Error (ISE) and Integral Time Square Error (ITSE), Pantograph System.

"Optimized controller design of pantograph system by applying different performance indices using PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.1523-1525, December-2015, Available :http://www.jetir.org/papers/JETIR1701632.pdf

"Optimized controller design of pantograph system by applying different performance indices using PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp1523-1525, December-2015, Available at : http://www.jetir.org/papers/JETIR1701632.pdf