{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:23:15Z","timestamp":1777706595421,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T00:00:00Z","timestamp":1736121600000},"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":["Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:p>The variable universe fuzzy controller can realize the continuous control of the whole operation process of the independent metering control excavator, which significantly improves the operation performance and energy saving. However, VUFC fuzzy rules are designed according to expert experience and debugging many times. VUFC design process lacks of effective design methods, and has great randomness. The optimal state of VUFC fuzzy rules and relevant parameters such as universe cannot be ensured. Artificial neural network is a parallel distributed system, which overcomes the defects of traditional artificial intelligence based on logical symbols in processing intuitive and unstructured information. It also has the advantages of self-adaptation, self-organization and real-time learning. In this paper, the neural network learning algorithm is introduced into the fuzzy inference system to optimize the structure and parameters of the fuzzy controller. ANFIS is trained according to the input and output data of the system to obtain a fuzzy controller. Compared to traditional fuzzy controller, ANFIS can reduce the influence of subjective factors in the design process on the controller. Through the simulation model of 37-ton IMC excavator, the ANFIS controller is verified to have better control performance than VUFC. In the process of lifting and lowering the boom, the ANFIS controller has a more stable running speed, significantly reduces pressure and flow fluctuation amplitude.<\/jats:p>","DOI":"10.3233\/jifs-236558","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T10:27:54Z","timestamp":1755167274000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Optimization of VUFC for an IMC construction machinery based on ANFIS"],"prefix":"10.1177","volume":"49","author":[{"given":"Shuang","family":"Hu","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao, China"},{"name":"Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao, China"},{"name":"Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijie","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao, China"},{"name":"Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongquan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Yanshan University, Qinhuangdao, China"},{"name":"Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,1,6]]},"reference":[{"key":"e_1_3_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.08.001"},{"key":"e_1_3_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2019.08.057"},{"key":"e_1_3_1_4_1","first-page":"196","article-title":"Individual metering fluid power systems: challenges and opportunities","volume":"225","year":"2011","unstructured":"Eriksson Bj\u00f6rn and Jan-Ove Palmberg, Individual metering fluid power systems: challenges and opportunities, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering225.2 (2011), 196\u2013211.","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"},{"key":"e_1_3_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2016.04.006"},{"key":"e_1_3_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.06.005"},{"key":"e_1_3_1_7_1","unstructured":"Linjama Matti Digital fluid power: State of the art Proceedings of The Twelfth Scandinavian International Conference on Fluid Power Tampere Finland. 2011."},{"key":"e_1_3_1_8_1","unstructured":"Huova Mikko and Linjama Matti Energy efficient digital hydraulic valve control utilizing pressurized tank line Proceedings of the 8th International Fluid Power Conference Dresden March 26\u201328 Dresden: Technische Universut\u00e4t Dresden Dresdner Verein zur F\u00f6rderung der Fluidtechnik 2012. pp. 111\u2013122 (International Fluid Power Conference)."},{"key":"e_1_3_1_9_1","unstructured":"ShenoudaA. 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