caa a22 4500 606159177 CHVBK 20210128100623.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00521-014-1796-5 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1796-5 Ali E. Electric Power and Machine Department, Faculty of Engineering, Zagazig University, 44519, Zagazig, Egypt aut Speed control of DC series motor supplied by photovoltaic system via firefly algorithm [Elektronische Daten] [E. Ali] This paper presents the speed control of DC series motor supplied by photovoltaic system. The proposed design problem of speed controller is formulated as an optimization problem. Firefly algorithm (FA) is employed to search for optimal proportional integral (PI) parameters of speed controller by minimizing the time domain objective function. The performance of the proposed FA-based speed control of DC series motor has been compared with genetic algorithm, and the conventional PI controller tuned by Ziegler-Nichols under various operating conditions and disturbances. The results of the proposed FA are demonstrated through time domain analysis and various performance indices. Simulation results have shown the validity of the proposed technique in controlling the speed of DC series motor over other algorithms. The Natural Computing Applications Forum, 2014 DC series motor nationallicence Firefly algorithm nationallicence Genetic algorithm nationallicence Photovoltaic system nationallicence PI controller nationallicence Speed control nationallicence Neural Computing and Applications Springer London 26/6(2015-08-01), 1321-1332 0941-0643 26:6<1321 2015 26 521 https://doi.org/10.1007/s00521-014-1796-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1796-5 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ali E. Electric Power and Machine Department, Faculty of Engineering, Zagazig University, 44519, Zagazig, Egypt aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/6(2015-08-01), 1321-1332 0941-0643 26:6<1321 2015 26 521