{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:52:46Z","timestamp":1760709166684,"version":"3.41.2"},"reference-count":21,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2016,10,17]],"date-time":"2016-10-17T00:00:00Z","timestamp":1476662400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IR"],"published-print":{"date-parts":[[2016,10,17]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>This paper aims to improve the adaptability and control performance of the controller, a proposed seeker optimization algorithm (SOA) is introduced to optimize the controller parameters of a robot manipulator.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>In this paper, a traditional proportional integral derivative (PID) controller and a fuzzy logic controller are integrated to form a fuzzy PID (FPID) controller. The SOA, as a novel algorithm, is used for optimizing the controller parameters offline. There is a performance comparison in terms of FPID optimization about the SOA, the genetic algorithm (GA), particle swarm optimization (PSO) and ant colony optimization (ACO). The DC motor model and the experimental platform are used to test the performance of the optimized controller.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Compared with GA, PSO and ACO, this novel optimization algorithm can enhance the control accuracy of the system. The optimized parameters ensure a system with faster response speed and better robustness.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>A simplified FPID controller structure is constructed and a novel SOA method for FPID controller is presented. In this paper, the SOA is applied on the controller of 5-DOF manipulator, and the validation of controllers is tested by experiments.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ir-12-2015-0225","type":"journal-article","created":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T03:29:28Z","timestamp":1476847768000},"page":"677-686","source":"Crossref","is-referenced-by-count":11,"title":["Seeker optimization algorithm for optimal control of manipulator"],"prefix":"10.1108","volume":"43","author":[{"given":"Chunchao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinsong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaorong","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hengyu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"1","key":"key2020121201192522200_ref001","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1016\/j.ijepes.2012.06.066","article-title":"Seeker optimization algorithm for load-tracking performance of an autonomous power system","volume":"43","year":"2012","journal-title":"International Journal of Electrical Power & Energy Systems"},{"issue":"1","key":"key2020121201192522200_ref002","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1016\/j.eswa.2010.07.131","article-title":"A fuzzy logic controller tuned with pso for 2 dof robot trajectory control","volume":"38","year":"2011","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"key2020121201192522200_ref003","first-page":"49","article-title":"A pso-based adaptive fuzzy pid-controllers","volume":"26","year":"2012","journal-title":"Simulation Modelling Practice & Theory"},{"issue":"6","key":"key2020121201192522200_ref005","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1016\/j.neucom.2010.08.025","article-title":"Seeker optimization algorithm for tuning the structure and parameters of neural networks","volume":"74","year":"2011","journal-title":"Neurocomputing"},{"first-page":"167","article-title":"Seeker optimization algorithm","year":"2006","key":"key2020121201192522200_ref004"},{"issue":"1","key":"key2020121201192522200_ref006","first-page":"24","article-title":"Control of a Scara Robot: pso-pid approach","volume":"38","year":"2010","journal-title":"Control & Intelligent Systems"},{"issue":"8","key":"key2020121201192522200_ref007","first-page":"1","article-title":"study on different tuning approach with incorporation of simulation aspect for ZN (Ziegler-Nichols) rules","volume":"2","year":"2012","journal-title":"International Journal of Scientific and Research Publications"},{"issue":"7","key":"key2020121201192522200_ref008","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1049\/iet-gtd.2008.0287","article-title":"Real-coded genetic algorithm and fuzzy logic approach for real-time tuning of proportional-integral - derivative controller in automatic voltage regulator system","volume":"3","year":"2009","journal-title":"IET Generation Transmission & Distribution"},{"issue":"1","key":"key2020121201192522200_ref009","first-page":"31","article-title":"Adaptive fuzzy tracking control with compressor and limiters for uncertain nonlinear systems","volume":"16","year":"2014","journal-title":"International Journal of Fuzzy Systems"},{"first-page":"2892","article-title":"Fusion of fuzzy, NN, GA to the intelligent robotics","year":"1995","key":"key2020121201192522200_ref010"},{"issue":"1","key":"key2020121201192522200_ref011","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1016\/j.enconman.2010.07.051","article-title":"Genetic algorithm-based fuzzy-pid control methodologies for enhancement of energy efficiency of a dynamic energy system","volume":"52","year":"2011","journal-title":"Energy Conversion & Management"},{"issue":"3","key":"key2020121201192522200_ref012","doi-asserted-by":"crossref","first-page":"1453","DOI":"10.1109\/TIE.2007.909762","article-title":"Ant colony optimization algorithm for fuzzy controller design and its FPGA implementation","volume":"55","year":"2008","journal-title":"IEEE Transactions on Industrial Electronics"},{"issue":"3","key":"key2020121201192522200_ref013","article-title":"Fuzzy logic based supervisory control scheme for real-time pressure regulation","volume":"37","year":"2009","journal-title":"Control & Intelligent Systems"},{"first-page":"237","article-title":"Evolutionary design of fuzzy classifiers using intersection points","year":"2010","key":"key2020121201192522200_ref014"},{"issue":"3","key":"key2020121201192522200_ref015","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1080\/10798587.2008.10643240","article-title":"A chromosome representation encoding intersection points for evolutionary design of fuzzy classifiers","volume":"18","year":"2012","journal-title":"Intelligent Automation & Soft Computing"},{"issue":"26","key":"key2020121201192522200_ref016","first-page":"2397","article-title":"On the equivalences and differences of evolutionary algorithms","volume":"26","year":"2013","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"6","key":"key2020121201192522200_ref017","doi-asserted-by":"crossref","first-page":"1977","DOI":"10.1109\/TIA.2008.2006347","article-title":"DSP-based laboratory implementation of hybrid fuzzy-pid controller using genetic optimization for high","volume":"44","year":"2008","journal-title":"IEEE Transactions on Industry Applications"},{"issue":"5","key":"key2020121201192522200_ref018","doi-asserted-by":"crossref","first-page":"2658","DOI":"10.1016\/j.asoc.2012.11.021","article-title":"A multivariable predictive fuzzy pid control system","volume":"13","year":"2013","journal-title":"Applied Soft Computing"},{"issue":"1","key":"key2020121201192522200_ref019","first-page":"65","article-title":"Comparison between three tuning methods of pid control for high precision positioning stage","volume":"30","year":"2014","journal-title":"MAPAN-Journal of Metrology Society of India"},{"issue":"6","key":"key2020121201192522200_ref020","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1108\/IR-09-2012-406","article-title":"A novel pid tuning method for robot control","volume":"40","year":"2013","journal-title":"Industrial Robot"},{"issue":"2","key":"key2020121201192522200_ref021","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1080\/18756891.2013.864476","article-title":"Seeker optimization algorithm for several practical applications","volume":"7","year":"2014","journal-title":"International Journal of Computational Intelligence Systems"}],"container-title":["Industrial Robot: An International Journal"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/IR-12-2015-0225","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IR-12-2015-0225\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IR-12-2015-0225\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T21:40:35Z","timestamp":1753393235000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ir\/article\/43\/6\/677-686\/176967"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,17]]},"references-count":21,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2016,10,17]]}},"alternative-id":["10.1108\/IR-12-2015-0225"],"URL":"https:\/\/doi.org\/10.1108\/ir-12-2015-0225","relation":{},"ISSN":["0143-991X"],"issn-type":[{"type":"print","value":"0143-991X"}],"subject":[],"published":{"date-parts":[[2016,10,17]]}}}