{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T00:58:05Z","timestamp":1723165085193},"reference-count":18,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2016,3,21]],"date-time":"2016-03-21T00:00:00Z","timestamp":1458518400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,3,21]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to investigate an intelligent control for water hydraulic position servo system which is intent to be used in remote control robot for fusion reactor. The dynamic model of water hydraulic servo control system is built and proportional\u2013integral\u2013derivative (PID) controller is used. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 PID control is the most common control algorithm used in industry and has been a conventional tool used to operate closed-loop control system; however, it is very difficult to achieve high accuracy and fast response by using the traditional way to tune its perimeters. To improve the control performance, optimization algorithm can be applied to search the best parameters of PID. This paper presents a search algorithm using particle swarm with H2<\/jats:sub> control standards objective function to optimize PID parameters. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 By comparing simulation and mock-up experiments\u2019 results from different control methods, the particle swarm optimization algorithm presents better performance and is more effective for tuning PID parameters. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 This paper presents an effective way to ensure safety and efficiency for remote handling maintenances of China Fusion Engineering Test Reactor.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/ir-05-2015-0109","type":"journal-article","created":{"date-parts":[[2016,3,30]],"date-time":"2016-03-30T18:40:04Z","timestamp":1459363204000},"page":"164-171","source":"Crossref","is-referenced-by-count":2,"title":["Intelligent method for tuning H_{2<\/sub> PID controller of water hydraulic manipulator of CFETR blanket maintenances"],"prefix":"10.1108","volume":"43","author":[{"given":"Manfen","family":"Han","sequence":"first","affiliation":[]},{"given":"Huapeng","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yuntao","family":"Song","sequence":"additional","affiliation":[]},{"given":"Yong","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Heikki","family":"Handroos","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020121721464405400_b1","unstructured":"Al-Saedi, M.\n (2014), \u201cFlexible multibody dynamics and intelligent control of hydraulically driven hybrid redundant robot machine\u201d, Dissertation, Lappeenranta University of Technology."},{"key":"key2020121721464405400_b2","unstructured":"Burns, R.S.\n (2001), \n Advanced Control Engineering\n , 1st ed., Linacre House, Butterworth-Heinemann, Oxford."},{"key":"key2020121721464405400_b3","unstructured":"Cheng, Q.M.\n (2002), \u201cA study on integrated controllers with 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Control\n , Vol. 18, pp. 19-26.","DOI":"10.1016\/j.jprocont.2007.06.003"},{"key":"key2020121721464405400_b7","unstructured":"Lee, J.C.\n and \n Kim, S.J.\n (2001), \u201cAn investigation into the PID control for the electro-hydraulic servo system of skin pass mill\u201d, \n International Journal of the Korean Society of Precision Engineering\n , Vol. 2 No. 4, pp. 47-53."},{"key":"key2020121721464405400_b8","unstructured":"Liu, J.H.\n , \n Wu, H.P.\n , \n Handroos, H.\n and \n Haario, H.\n (2012), \u201cParameter estimation of an electro hydraulic servo system using a Markov chain Monte Carlo method\u201d, \n Journal of Dynamic Systems, Measurement, and Control\n , Vol. 135, pp. 1-9."},{"key":"key2020121721464405400_b9","doi-asserted-by":"crossref","unstructured":"Luo, Y.X.\n and \n Che, X.Y.\n (2010), \u201cTuning PID control parameters on hydraulic servo control system based on differential evolution algorithm\u201d, 2nd International Conference on Advanced Computer Control (ICACC), Vol. 3, pp. 348-351.","DOI":"10.1109\/ICACC.2010.5486842"},{"key":"key2020121721464405400_b10","doi-asserted-by":"crossref","unstructured":"Ramzy, S.A. and Al-Waily\n (2010), \u201cDesign of robust mixed H2\/H\u221e PID controller using particle swarm optimization\u201d, \n International Journal of Advancements in Computing Technology\n , Vol. 2 No. 5, pp. 53-60.","DOI":"10.4156\/ijact.vol2.issue5.5"},{"key":"key2020121721464405400_b11","doi-asserted-by":"crossref","unstructured":"Shi, Y.\n and \n Eberhart, R.C.\n (1999), \u201cEmpirical study of particle swarm optimization\u201d, \n Congress on Evolutionary Computing\n , Vol. 3, pp. 1945-1950.","DOI":"10.1109\/CEC.1999.785511"},{"key":"key2020121721464405400_b12","doi-asserted-by":"crossref","unstructured":"Song, Y.T.\n , \n Wu, S.T.\n , \n Li, J.G.\n , \n Wan, B.N.\n , \n Wan, Y.X.\n , \n Fu, P.\n , \n Ye, M.Y.\n , \n Zheng, J.X.\n , \n Lu, K.\n , \n Gao, X.\n , \n Liu, S.M.\n , \n Liu, X.F.\n , \n Lei, M.Z.\n , \n Peng, X.B.\n and \n Chen, Y.\n (2014a), \u201cConcept design of CFETR Tokamak machine\u201d, \n IEEE Transactions on Plasma Science\n , Vol. 42, pp. 503-509.","DOI":"10.1109\/TPS.2014.2299277"},{"key":"key2020121721464405400_b13","doi-asserted-by":"crossref","unstructured":"Song, Y.T.\n , \n Wu, S.T.\n , \n Wan, Y.X.\n and \n Wei, J.\n (2014b), \u201cConcept design on RH maintenance of CFETR Tokamak reactor\u201d, \n Fusion Engineering and Design\n , Vol. 89, pp. 2331-2335.","DOI":"10.1016\/j.fusengdes.2014.03.045"},{"key":"key2020121721464405400_b14","unstructured":"Tang, X.D.\n , \n Pang, Y.J.\n and \n Wan, L.\n (2009), \u201cImproved PSO and its application research on tuning of S plane parameters in AUV\u2019s motion control\u201d, \n Journal of Basic Science and Engineering\n , Vol. 17 No. 1, pp. 153-160."},{"key":"key2020121721464405400_b15","doi-asserted-by":"crossref","unstructured":"Trelea, I.C.\n (2003), \u201cThe particle swarm optimization algorithm: convergence analysis and parameter selection\u201d, \n Information Processing Letters\n , Vol. 85, pp. 317-325.","DOI":"10.1016\/S0020-0190(02)00447-7"},{"key":"key2020121721464405400_b16","unstructured":"Wang, D.\n , \n Jiang, J.G.\n and \n Wang, J.T.\n (2010), \u201cThe model and simulation of an asymmetric valve-controlled cylinder velocity control system based on PID\u201d, \n 2010 Second International Workshop on Education Technology and Computer Science (ETCS\n ), Vol. 3, pp. 499-502."},{"key":"key2020121721464405400_b17","unstructured":"Zhang, W.\n , \n Zhao, Q.H.\n , \n Li, H.\n and \n Wang, H.K.\n (2010a), \u201cDynamic performance analysis on discrete PSO algorithm with parameter selection\u201d, \n Journal of System Simulation\n , Vol. 22 No. 8, pp. 1899-1904."},{"key":"key2020121721464405400_b18","unstructured":"Zhang, W.F.\n , \n Wang, G.\n , \n Zhu, C.H.\n and \n Xiao, J.\n (2010b), \u201cPopulation size selection of particle swarm optimizer algorithm\u201d, \n Computer Systems & Applications\n , Vol. 19 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