{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T20:39:17Z","timestamp":1777927157016,"version":"3.51.4"},"reference-count":38,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2018,5,21]],"date-time":"2018-05-21T00:00:00Z","timestamp":1526860800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:p>A motion cueing algorithm plays an important role in generating motion cues in driving simulators. The motion cueing algorithm is used to transform the linear acceleration and angular velocity of a vehicle into the translational and rotational motions of a simulator within its physical limitation through washout filters. Indeed, scaling and limiting should be used along within the washout filter to decrease the amplitude of the translational and rotational motion signals uniformly across all frequencies through the motion cueing algorithm. This is to decrease the effects of the workspace limitations in the simulator motion reproduction and improve the realism of movement sensation. A nonlinear scaling method based on the genetic algorithm for the motion cueing algorithm is developed in this study. The aim is to accurately produce motions with a high degree of fidelity and use the platform more efficiently without violating its physical limitations. To successfully achieve this aim, a third-order polynomial scaling method based on the genetic algorithm is formulated, tuned, and implemented for the linear quadratic regulator\u2013based optimal motion cueing algorithm. A number of factors, which include the sensation error between the real and simulator drivers, the simulator\u2019s physical limitations, and the sensation signal shape-following criteria, are considered in optimizing the proposed nonlinear scaling method. The results show that the proposed method not only is able to overcome problems pertaining to selecting nonlinear scaling parameters based on trial-and-error and inefficient usage of the platform workspace, but also to reduce the sensation error between the simulator and real drivers, while satisfying the constraints imposed by the platform boundaries.<\/jats:p>","DOI":"10.1177\/0959651818772940","type":"journal-article","created":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T02:24:52Z","timestamp":1526955892000},"page":"1025-1038","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":38,"title":["A genetic algorithm\u2013based nonlinear scaling method for optimal motion cueing algorithm in driving simulator"],"prefix":"10.1177","volume":"232","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3620-8693","authenticated-orcid":false,"given":"Houshyar","family":"Asadi","sequence":"first","affiliation":[{"name":"Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chee Peng","family":"Lim","sequence":"additional","affiliation":[{"name":"Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arash","family":"Mohammadi","sequence":"additional","affiliation":[{"name":"Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shady","family":"Mohamed","sequence":"additional","affiliation":[{"name":"Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeid","family":"Nahavandi","sequence":"additional","affiliation":[{"name":"Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lakshmanan","family":"Shanmugam","sequence":"additional","affiliation":[{"name":"Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2018,5,21]]},"reference":[{"key":"bibr1-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2009.2035499"},{"key":"bibr2-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2015.2405934"},{"key":"bibr3-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12643-2_58"},{"key":"bibr4-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-12643-2_59"},{"key":"bibr5-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2014.1003948"},{"key":"bibr6-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2007.905336"},{"key":"bibr7-0959651818772940","first-page":"586","volume-title":"Proceedings of the 13th IEEE international symposium on Mediterranean conference on control and automation","author":"Nehaoua L"},{"key":"bibr8-0959651818772940","volume-title":"Flight simulation motion-base drive algorithms: part 1\u2014developing and testing the equations","author":"Reid L","year":"1985"},{"key":"bibr9-0959651818772940","first-page":"401","volume-title":"Proceedings of the international conference on neural information processing","author":"Asadi H"},{"key":"bibr10-0959651818772940","first-page":"1963","volume-title":"Proceedings of the 2016 IEEE international conference on systems, man, and cybernetics (SMC)","author":"Asadi H"},{"key":"bibr11-0959651818772940","volume-title":"Human perception-based washout filtering","author":"Asadi H","year":"2015"},{"key":"bibr12-0959651818772940","doi-asserted-by":"publisher","DOI":"10.2514\/3.20557"},{"key":"bibr13-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1982.4308915"},{"key":"bibr14-0959651818772940","volume-title":"Motion cue models for pilot-vehicle analysis","author":"Zacharias GL","year":"1978"},{"key":"bibr15-0959651818772940","volume-title":"Vestibular models and thresholds of motion perception: results of tests in a flight simulator","author":"Hosman R","year":"1978"},{"key":"bibr16-0959651818772940","first-page":"1","volume-title":"Proceedings of Australasian conference on robotics and automation ACRA 2014","author":"Asadi H"},{"key":"bibr17-0959651818772940","unstructured":"Telban RJ, Cardullo FM. Motion cueing algorithm development: human-centered linear and nonlinear approaches. NASA technical report no. CR-2005-213747, May2005, https:\/\/ntrs.nasa.gov\/archive\/nasa\/casi.ntrs.nasa.gov\/20050180246.pdf"},{"issue":"2","key":"bibr18-0959651818772940","first-page":"238","volume":"47","author":"Asadi H","year":"2016","journal-title":"IEEE T Syst Man Cy: Syst"},{"key":"bibr19-0959651818772940","first-page":"173","volume-title":"Proceedings of the driving simulation conference & exhibition DSC 2015","author":"Asadi H"},{"key":"bibr20-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2009.03.002"},{"key":"bibr21-0959651818772940","first-page":"221","volume-title":"Proceedings of the DSC Europe","author":"Dagdelen M"},{"key":"bibr22-0959651818772940","first-page":"874","volume-title":"Proceedings of the 2012 7th international power electronics and motion control conference (IPEMC)","volume":"2","author":"Fang Z"},{"key":"bibr23-0959651818772940","unstructured":"Garrett NJ, Best MC. Driving simulator motion cueing algorithms\u2014a survey of the state of the art, 2010, https:\/\/pdfs.semanticscholar.org\/c52a\/1880c1e53cd9e9e529db7f160bfd2087fd22.pdf"},{"key":"bibr24-0959651818772940","first-page":"521","volume-title":"Proceedings of the 2016 IEEE international conference on systems, man, and cybernetics (SMC)","author":"Mohammadi A"},{"key":"bibr25-0959651818772940","volume-title":"Proceedings of the Australasian conference on robotics and automation (ACRA2016)","author":"Mohammadi A"},{"key":"bibr26-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.09.004"},{"key":"bibr27-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbr.2016.03.043"},{"key":"bibr28-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2016-0058"},{"key":"bibr29-0959651818772940","volume-title":"Linear optimal control systems","author":"Kwakernaak H","year":"1972"},{"key":"bibr30-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-416743-8.00005-1"},{"key":"bibr31-0959651818772940","first-page":"264","volume-title":"Proceedings of the 2013 IEEE international conference on control system, computing and engineering (ICCSCE)","author":"Johar FM"},{"issue":"1","key":"bibr32-0959651818772940","first-page":"124","volume":"4","author":"Tabassum M","year":"2014","journal-title":"Int J Digit Inform Wire Commun"},{"key":"bibr33-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1002\/9781118029145"},{"key":"bibr34-0959651818772940","volume-title":"Foundations of informing science: 1999-2008","author":"Gill TG","year":"2009"},{"issue":"7","key":"bibr35-0959651818772940","first-page":"23","volume":"4","author":"Khan K","year":"2012","journal-title":"Int J Intell Syst Appl"},{"key":"bibr36-0959651818772940","unstructured":"Zaychik KB, Cardullo FM. Nonlinear motion cueing algorithm: filtering at pilot station and development of the nonlinear optimal filters for pitch and roll, 2012, https:\/\/ntrs.nasa.gov\/archive\/nasa\/casi.ntrs.nasa.gov\/20120008933.pdf"},{"key":"bibr37-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.07.059"},{"key":"bibr38-0959651818772940","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2130529"}],"container-title":["Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0959651818772940","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/0959651818772940","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0959651818772940","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:36:25Z","timestamp":1777674985000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0959651818772940"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,21]]},"references-count":38,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["10.1177\/0959651818772940"],"URL":"https:\/\/doi.org\/10.1177\/0959651818772940","relation":{},"ISSN":["0959-6518","2041-3041"],"issn-type":[{"value":"0959-6518","type":"print"},{"value":"2041-3041","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,21]]}}}