<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>af92402f-2d1c-4129-8f42-0ed37957aa0a</doi_batch_id><timestamp>20230102093254891</timestamp><depositor><depositor_name>wseas:wseas</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata><full_title>International Journal of Electrical Engineering and Computer Science</full_title><issn media_type="electronic">2769-2507</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/232027</doi><resource>https://wseas.com/journals/eeacs/index.php</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>6</month><day>29</day><year>2022</year></publication_date><publication_date media_type="print"><month>6</month><day>29</day><year>2022</year></publication_date><journal_volume><volume>4</volume><doi_data><doi>10.37394/232027.2022.4</doi><resource>https://wseas.com/journals/eeacs/2022.php</resource></doi_data></journal_volume></journal_issue><journal_article><titles><title>Speed Control of DC Series Motor PV System via Improved Harmony Search Algorithm</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>E. S.</given_name><surname>Ali</surname><affiliation>Electrical Department, Faculty of Engineering, Jazan University, Jazan, KINGDOM OF SAUDI ARABIA</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>This article introduces the speed adjustment of the DC motor solar system. The developed design matter of the speed controller is established as an optimization problem. Improved Harmony Search Algorithm (IHSA) is employed to seek for optimum Proportional Integral (PI) parameters of speed controller by diminishing the time domain cost function. The performance of the suggested IHSA based speed control of DC motor has been contrasted with Particle Swarm Optimization (PSO) and the traditional PI controller found by Ziegler Nichols (ZN) under diverse operating cases and disturbances. The results of the suggested IHSA are confirmed via time domain analysis, and diverse performance indices. 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