{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T22:52:05Z","timestamp":1782514325256,"version":"3.54.5"},"reference-count":20,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,3,14]],"date-time":"2019-03-14T00:00:00Z","timestamp":1552521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>In order to solve the poor control accuracy problem of the traditional synchronous control algorithm for a double-cylinder forging hydraulic press, a synchronous control algorithm for double-cylinder forging hydraulic press based on a fuzzy neural network was proposed. According to the flow equation of valve and hydraulic cylinder, the balance equation and force balance equation of forging hydraulic cylinder are established by using the theory of electro-hydraulic servo systems, and the cylinder-controlled transfer function of forging hydraulic cylinder is deduced. By properly simplifying the transfer function, the mathematical model of synchronous control of double cylinder forging hydraulic press is established. According to the implementation process of traditional fuzzy neural networks, the properties of compensation operation are introduced. The traditional fuzzy neural network is optimized, and the optimized neural network is used to realize the synchronous control of the double cylinder forging hydraulic press. The experimental results show that the amplitude curve of the algorithm is very close to the expected amplitude curve, the error amplitude is only 0.3 mm, and the average control time is about 140 s, which fully shows that the algorithm has high accuracy and a good control effect.<\/jats:p>","DOI":"10.3390\/a12030063","type":"journal-article","created":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T04:12:09Z","timestamp":1552623129000},"page":"63","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Synchronization Control Algorithm of Double-Cylinder Forging Hydraulic Press Based on Fuzzy Neural Network"],"prefix":"10.3390","volume":"12","author":[{"given":"Xiaodan","family":"Xu","sequence":"first","affiliation":[{"name":"Railway Locomotive and Mechanical and Electrical Equipment System, Shandong Polytechnic, Jinan 250104, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhifeng","family":"Bai","sequence":"additional","affiliation":[{"name":"Railway Locomotive and Mechanical and Electrical Equipment System, Shandong Polytechnic, Jinan 250104, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai\u2019an 271018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/TFUZZ.2015.2446535","article-title":"Recurrent fuzzy neural cerebellar model articulation network fault-tolerant control of six-phase permanent magnet synchronous motor position servo drive","volume":"1","author":"Lin","year":"2016","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"ref_2","first-page":"1","article-title":"Robust adaptive position and force controller design of robot manipulator using fuzzy neural networks","volume":"1","author":"Lee","year":"2016","journal-title":"Nonlinear Dyn."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1434","DOI":"10.1080\/07373937.2015.1122612","article-title":"A recurrent self-evolving fuzzy neural network predictive control for microwave drying process","volume":"12","author":"Li","year":"2016","journal-title":"Dry. Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.automatica.2015.10.024","article-title":"Infinite-dimensional decentralized damping control of large-scale manipulators with hydraulic actuation","volume":"63","author":"Henikl","year":"2016","journal-title":"Automatica"},{"key":"ref_5","first-page":"514","article-title":"Research on Joint Control of Combined Drivers with Synchronization for Giant Forging Hydraulic Press","volume":"4","author":"Liu","year":"2016","journal-title":"Mech. Sci. Technol. Aerosp. Eng."},{"key":"ref_6","first-page":"2077","article-title":"Synchronization control of teleoperation systems based on generalized extended state observers","volume":"11","author":"Zhang","year":"2016","journal-title":"Control Decis."},{"key":"ref_7","first-page":"555","article-title":"A Novel Sliding Mode Synchronization Method of Uncertain Fractional-Order Chaotic Systems","volume":"3","author":"Sun","year":"2017","journal-title":"J. Univ. Electron. Sci. Technol. China"},{"key":"ref_8","first-page":"389","article-title":"Research on Synchronization Control of Multi-Motor Systems Based on Novel Fuzzy Compensator","volume":"2","author":"Wang","year":"2016","journal-title":"Comput. Simul."},{"key":"ref_9","first-page":"124","article-title":"Impact of defects on electronic transmission properties and spin transport in monolayer silicene","volume":"5","author":"Banerjee","year":"2016","journal-title":"Adv. Ind. Eng. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4073","DOI":"10.1109\/TIE.2016.2541080","article-title":"Linear control of switching valve in vehicle hydraulic control unit based on sensorless solenoid position estimation","volume":"7","author":"Zhao","year":"2016","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_11","first-page":"660","article-title":"Solar assisted micro hybridized auto-rickshaw (engine driven)","volume":"40","author":"Arefin","year":"2017","journal-title":"J. Mech. Eng. Res. Dev."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2569","DOI":"10.1109\/LPT.2016.2605696","article-title":"A practical fbg sensor based on a thin-walled cylinder for hydraulic pressure measurement","volume":"22","author":"Gu","year":"2016","journal-title":"IEEE Photonics Technol. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1007\/s12206-018-0437-9","article-title":"Cross-coupled fuzzy PID control combined with full decoupling compensation method for double cylinder servo control system","volume":"32","author":"Yao","year":"2018","journal-title":"J. Mech. Sci. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.mechatronics.2017.08.012","article-title":"Analysis of a novel energy-efficient system with double-actuator for hydraulic press","volume":"47","author":"Li","year":"2017","journal-title":"Mechatronics"},{"key":"ref_15","first-page":"462","article-title":"Experimental Study on Energy Consumption Characteristics of Fast Hydraulic Forging Press with Open Variable Pump-controlled System","volume":"28","author":"Yao","year":"2017","journal-title":"China Mech. Eng."},{"key":"ref_16","first-page":"1","article-title":"Finite element analysis on master cylinder welding stress field of 80,000 tons of die forging press","volume":"38","author":"Chen","year":"2017","journal-title":"Trans. China Weld. Inst."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1108\/AEAT-11-2016-0238","article-title":"A study of a new screw press forging process for producing aircraft drop forgings made of magnesium alloy AZ61A","volume":"90","author":"Gontarz","year":"2018","journal-title":"Aircr. Eng. Aerosp. Technol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"267","DOI":"10.4028\/www.scientific.net\/MSF.893.267","article-title":"Numerical Simulation and Experimental Research on Forging of Cylinder Bottom","volume":"893","author":"Xia","year":"2017","journal-title":"Mater. Sci. Forum"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Priyadarshini, A., Kiran, C.P., and Suresh, K. (2017, January 1\u20132). Effect of Friction on Barreling during cold Upset Forging of Aluminium 6082 Alloy Solid cylinders. Proceedings of the IOP Conference Series: Materials Science and Engineering, Hyderabad, India.","DOI":"10.1088\/1757-899X\/330\/1\/012072"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Gnucci, M., Gospodarczyk, M., Carnevale, D., Tiberti, M., Tomei, P., and Verrelli, C.M. (2018). A learning control algorithm for periodic robot synchronization: Experimental results. Int. J. Adapt. Control Signal Process., 32.","DOI":"10.1002\/acs.2868"}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/12\/3\/63\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:38:54Z","timestamp":1760186334000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/12\/3\/63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,14]]},"references-count":20,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2019,3]]}},"alternative-id":["a12030063"],"URL":"https:\/\/doi.org\/10.3390\/a12030063","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,14]]}}}