{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:28:44Z","timestamp":1777703324891,"version":"3.51.4"},"reference-count":50,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2019,4,19]],"date-time":"2019-04-19T00:00:00Z","timestamp":1555632000000},"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"],"published-print":{"date-parts":[[2019,7,9]]},"abstract":"<jats:p>Due to the continuous improvement of industrial production requirements and green manufacturing demand, manufacturing enterprises and factories need to constantly optimize and improve the system structure. Based on the actual problems in the actual coal blending process, this paper analyzes the reason of the coal blending error in coal blending process and the optimization scheme of intelligent control of coal blending process. We optimized the overall structure of the coal blending system, improved the coal blending system which use the fuzzy control system. At the same time, we used MATLAB to simulate and analyse the simulation results. This paper gives an illustration to the optimal structure and system of the coal blending system, effectively improves the accuracy and stability of the coal blending process control system, reduces the coal blending error and improves the quality of coal blending in general.<\/jats:p>","DOI":"10.3233\/jifs-179090","type":"journal-article","created":{"date-parts":[[2019,4,23]],"date-time":"2019-04-23T12:06:13Z","timestamp":1556021173000},"page":"341-349","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Optimization of coal blending process control based on fuzzy self-tuning"],"prefix":"10.1177","volume":"37","author":[{"given":"Qiang","family":"Yin","sequence":"first","affiliation":[{"name":"College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiabing","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Hubei, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hangming","family":"Tong","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyun","family":"Song","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,4,19]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2017.01.064"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.powtec.2018.01.027"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3934\/dcdss.2015.8.1223"},{"key":"e_1_3_2_5_2","first-page":"96","article-title":"Application of support vector machine optimized by improved ant colony optimization algorithm in power coal blending prediction","volume":"6","author":"Sun W.","year":"2014","unstructured":"W.Sun and X.Gao, Application of support vector machine optimized by improved ant colony optimization algorithm in power coal blending prediction, International Journal of Applied Mathematics & Statistic6 (2014), 96\u2013106.","journal-title":"International Journal of Applied Mathematics & Statistic"},{"key":"e_1_3_2_6_2","article-title":"A method of various alternatives for coal blending optimization with integrated performance index","author":"Tian Q.","year":"2016","unstructured":"Q.Tian, J.Li, X.Shi, et al., A method of various alternatives for coal blending optimization with integrated performance index, Journal of Yunnan University (2016).","journal-title":"Journal of Yunnan University"},{"key":"e_1_3_2_7_2","first-page":"620","article-title":"Evaluation method of the energy conversion efficiency of coal gasification and related applications","volume":"2","author":"Duan T.","year":"2016","unstructured":"T.Duan, C.Lu, S.Xiong, et al., Evaluation method of the energy conversion efficiency of coal gasification and related applications, International Journal of Energy Research2 (2016), 620\u2013631.","journal-title":"International Journal of Energy Research"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.12785\/amis\/070203"},{"key":"e_1_3_2_9_2","article-title":"Practical exploration of coking with large proportion high sulfur coal using the existing equipment","author":"Wen Z.","year":"2017","unstructured":"Z.Wen, T.Deng and Y.C.Co, Practical exploration of coking with large proportion high sulfur coal using the existing equipment, Coal Chemical Industry (2017).","journal-title":"Coal Chemical Industry"},{"key":"e_1_3_2_10_2","first-page":"1","article-title":"Numerical simulation of the influence factors for rotary kiln in temperature field and stress field and the structure optimization","volume":"6","author":"Li G.","year":"2015","unstructured":"G.Li, Z.Liu, G.Jiang, et al., Numerical simulation of the influence factors for rotary kiln in temperature field and stress field and the structure optimization, Advances in Mechanical Engineering6 (2015), 1\u201315.","journal-title":"Advances in Mechanical Engineering"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.30797\/madencilik.390317"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2016.10.050"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuproc.2015.11.008"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.12785\/amis\/070323"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.09.028"},{"key":"e_1_3_2_16_2","first-page":"1","article-title":"Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material","volume":"4","author":"Li G.","year":"2015","unstructured":"G.Li, J.Liu, G.Jiang, et al., Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material, Advances in Mechanical Engineering4 (2015), 1\u201313.","journal-title":"Advances in Mechanical Engineering"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.12785\/amis\/070324"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2016.1975"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechatronics.2016.06.005"},{"key":"e_1_3_2_20_2","first-page":"4487","article-title":"Air-fuel ratio intelligent control in coke oven combustion process","volume":"11","author":"Li G.","year":"2012","unstructured":"G.Li, J.Kong, G.Jiang, et al., Air-fuel ratio intelligent control in coke oven combustion process, Information-An International Interdisciplinary Journal11 (2012), 4487\u20134494.","journal-title":"Information-An International Interdisciplinary Journal"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJWMC.2018.091140"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2015.10.039"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuproc.2016.07.010"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2018.03.174"},{"key":"e_1_3_2_25_2","article-title":"Characteristics of pressure drop of charred layer in coke dry quenching over coke oven gas","volume":"4","author":"Zhang G.","year":"2017","unstructured":"G.Zhang, P.Zhao, Y.Xu, et al., Characteristics of pressure drop of charred layer in coke dry quenching over coke oven gas, Energy & Fuels4 (2017).","journal-title":"Energy & Fuels"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1002\/srin.201500372"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12666-015-0671-0"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2005.05.023"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11708-007-0010-1"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-98096-6_21"},{"key":"e_1_3_2_31_2","article-title":"TRec: An efficient recommendation system for hunting passengers with deep neural networks","author":"Huang Z.","year":"2018","unstructured":"Z.Huang, G.Shan, J.Cheng and J.Sun, TRec: An efficient recommendation system for hunting passengers with deep neural networks, Neural Computing and Applications (2018).","journal-title":"Neural Computing and Applications"},{"key":"e_1_3_2_32_2","first-page":"265","article-title":"Soft-sensing model of coke oven flue temperature","volume":"12","author":"Li G.","year":"2013","unstructured":"G.Li, W.Xiao, G.Jiang, et al., Soft-sensing model of coke oven flue temperature, Sensors and Transducers12 (2013), 265\u2013270.","journal-title":"Sensors and Transducers"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2016.10.050"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3820(01)00130-8"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1051\/metal\/2017102"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.07.030"},{"key":"e_1_3_2_37_2","first-page":"139","article-title":"Exergy analysis and optimization of coking process","author":"Liu C.","year":"2017","unstructured":"C.Liu, Z.Xie, F.Sun, et al., Exergy analysis and optimization of coking process, Energy (2017), 139.","journal-title":"Energy"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.09.028"},{"key":"e_1_3_2_39_2","first-page":"1","article-title":"Research on steady-state simulation in dynamic job shop scheduling problem","volume":"9","author":"Xiong H.","year":"2015","unstructured":"H.Xiong, H.Fan, G.Li, et al., Research on steady-state simulation in dynamic job shop scheduling problem, Advances in Mechanical Engineering9 (2015), 1\u201311.","journal-title":"Advances in Mechanical Engineering"},{"key":"e_1_3_2_40_2","article-title":"Understanding ash fusion and viscosity variation from coal blending based on mineral interaction","volume":"1","author":"Li F.","year":"2017","unstructured":"F.Li, M.Li, H.Fan, et al., Understanding ash fusion and viscosity variation from coal blending based on mineral interaction, Energy & Fuels1 (2017).","journal-title":"Energy & Fuels"},{"key":"e_1_3_2_41_2","first-page":"1","article-title":"Modelling of coal trade process for the logistics enterprise and its optimisation with stochastic predictive control","volume":"8","author":"Cheng Q.","year":"2016","unstructured":"Q.Cheng, S.Ning, X.Xia, et al., Modelling of coal trade process for the logistics enterprise and its optimisation with stochastic predictive control, International Journal of Production Research8 (2016), 1\u201319.","journal-title":"International Journal of Production Research"},{"key":"e_1_3_2_42_2","first-page":"185","article-title":"Relaxed conditions in tracking control design for a TS fuzzy model","volume":"2","author":"Manamanni N.","year":"2017","unstructured":"N.Manamanni, B.Mansouri, A.Hamzaoui, et al., Relaxed conditions in tracking control design for a TS fuzzy model, Journal of Intelligent & Fuzzy Systems2 (2017), 185\u2013210.","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"e_1_3_2_43_2","first-page":"1","article-title":"Attack's feature selection-based network intrusion detection system using fuzzy control language","volume":"2","author":"Ramakrishnan S.","year":"2016","unstructured":"S.Ramakrishnan and S.Devaraju, Attack's feature selection-based network intrusion detection system using fuzzy control language, International Journal of Fuzzy Systems2 (2016), 1\u201313.","journal-title":"International Journal of Fuzzy Systems"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-2012-0569"},{"key":"e_1_3_2_45_2","first-page":"31","article-title":"Generalized multi-fuzzy soft set and its application in decision making","volume":"4","author":"Zhang H.D.","year":"2016","unstructured":"H.D.Zhang, S.L.Liao and W.Y.Ma, Generalized multi-fuzzy soft set and its application in decision making, Journal of Intelligent & Fuzzy Systems4 (2016), 31\u201342.","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"key":"e_1_3_2_46_2","article-title":"Fuzzy adaptive control design for collecting main pressure in coke-oven","author":"Zhou H.","year":"2010","unstructured":"H.Zhou, W.Chen and K.Fang, Fuzzy adaptive control design for collecting main pressure in coke-oven, International Conference on Fuzzy Systems & Knowledge Discovery, 2010.","journal-title":"International Conference on Fuzzy Systems & Knowledge Discovery"},{"key":"e_1_3_2_47_2","first-page":"221","article-title":"Research on fuzzy intelligent control of coke oven temperature","author":"Jiang G.","year":"2010","unstructured":"G.Jiang, G.Li, J.Kong, et al., Research on fuzzy intelligent control of coke oven temperature, IEEE (2010), 221\u2013224.","journal-title":"IEEE"},{"key":"e_1_3_2_48_2","first-page":"169","article-title":"Fuzzy PID control study and simulation of gas collector pressure of coke ovens","volume":"1","author":"Huang J.","year":"2011","unstructured":"J.Huang, K.Chen and Q.Yu, Fuzzy PID control study and simulation of gas collector pressure of coke ovens, Electronic & Mechanical Engineering & Information Technology International Confere1 (2011), 169\u2013172.","journal-title":"Electronic & Mechanical Engineering & Information Technology International Confere"},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-130877"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2016.1160453"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijnonlinmec.2017.03.014"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179090","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-179090","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:38:27Z","timestamp":1777455507000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-179090"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,19]]},"references-count":50,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,7,9]]}},"alternative-id":["10.3233\/JIFS-179090"],"URL":"https:\/\/doi.org\/10.3233\/jifs-179090","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,19]]}}}