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Real Time Implementation of an Artificial Immune
System Based Controller for a DSTATCOM in an
Electric Ship Power System
Pinaki Mitra, Student Member, IEEE and Ganesh K. Venayagamoorthy, Senior Member, IEEE
Real-Time Power and Intelligent Systems Laboratory
Missouri University of Science and Technology, Rolla, MO 65409, USA.
pm33d@mst.edu gkumar@ieee.org
Abstract— A new adaptive control strategy based on [5] present different control strategies based on the multi-level
Artificial Immune System (AIS) for a DSTATCOM in an electric inverter topologies of shunt compensators. Attempts have been
ship power system is presented in this paper. DSTATCOM is a made to make the controller robust by applying sliding mode
shunt compensation device, which can be used to improve the control strategy as in [6] and [7]. But, these control strategies
power quality during the pulse power requirements in a naval are not adaptive to the system dynamics. Also, most of the
shipboard system. The role of DSTATCOM controller is very conventional control schemes of DSTATCOM have several PI
important to meet this objective. In this paper, the DSTATCOM controllers. The tuning of PI controllers is a complex task for
controller parameters are first tuned by Particle Swarm the systems having power electronics equipments. In order to
Optimization (PSO) technique, so that it can provide innate overcome these problems, Computational Intelligence (CI)
immunity to common system disturbances. Then, these opti
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