An approach is suggested in this paper for the design of a fuzzy logic-based governor controller as a possible mean to improve superconducting generator (SCG) stability under transient conditions while it is connected to a very large power system (an infinite-bus). In this approach, the stabilizing signal is based on the instantaneous speed deviation and acceleration of the superconducting generator and on a set of simple control rules. Meanwhile, a tuning parameter is introduced to generate the appropriate control rules, and thus increase the effectiveness of the fuzzy logic-based controller. Particle swarm optimization (PSO) technique is used to search for optimal settings of the fuzzy controller parameters. Simulation results, compared with those using a conventional controller, show that the proposed, PSOtuned fuzzy controller leads to a significant improvement in the SCG system performance over a range of operating conditions.
Saleh, R. A. F. (2016). PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC-BASED CONTROLLER FOR SUPERCONUCTING GENERATOR. ERJ. Engineering Research Journal, 39(4), 243-249. doi: 10.21608/erjm.2016.66392
MLA
Ragaey A. F. Saleh. "PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC-BASED CONTROLLER FOR SUPERCONUCTING GENERATOR". ERJ. Engineering Research Journal, 39, 4, 2016, 243-249. doi: 10.21608/erjm.2016.66392
HARVARD
Saleh, R. A. F. (2016). 'PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC-BASED CONTROLLER FOR SUPERCONUCTING GENERATOR', ERJ. Engineering Research Journal, 39(4), pp. 243-249. doi: 10.21608/erjm.2016.66392
VANCOUVER
Saleh, R. A. F. PARTICLE SWARM-AIDED DESIGN OF A FUZZY LOGIC-BASED CONTROLLER FOR SUPERCONUCTING GENERATOR. ERJ. Engineering Research Journal, 2016; 39(4): 243-249. doi: 10.21608/erjm.2016.66392
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