·1420· 工程科学学报，第39卷，第9期 430 [9]Radhakrishnan V R.Model based supervisory control of a ball mill 24 grinding circuit.Process Control,1999,9(3):195 4 [10]Bartlett JT.Process simulation and optimization using metsim Mineral Resources Management by Personal Computer.Littleton, 412 411 1987:105 403 [11]Liu LL Design and Development of the Simulation System for Shaft Furnace Process Control Based on METSIM Softcare Dis- 395 sertation].Shenyang:Northeastern University,2014 (刘琳琳.基于METSIM软件的竖炉过程控制仿真系统的设 379 计与开发[学位论文].沈阳：东北大学，2014) 365 17:40.08 18:2008 1900.08 19:4008 [12]Liu FZ,Gao H J,Qiu J B,et al.Networked multirate output 时刻 feedback control for setpoints compensation and its application to 图14浮选槽液位跟踪曲线 rougher flotation process.IEEE T Ind Electron,2014,61(1): Fig.14 Trace curves of the flotation tank level 460 [13]Chen Z M,Hu Y J.Wang X,et al.Design of hardware-in-the- 参考文献 loop simulation system for LTE-A system based on USRP/ 2016 IEEE 11th Conference on Industrial Electronics and Applica- [1]Li H B.Study on Intelligent Control System for a Mixed Separation tions (/CIEA).Hefei,2016:2081 Process [Dissertation].Shenyang:Northeastem University,2014 [14]Rajamani R K,Herbst J A.Optimal control of a ball mill grind- (李海波.赤铁矿混合选别全流程智能控制系统的研究[学位 ing circuit-I.Grinding circuit modeling and dynamic simula- 论文].沈阳：东北大学，2014) tion.Chem Eng Sci,1991,46(3):861 [2]Dai W,Chai T Y,Ding J L,et al.Experimental Control System [15]Durance M V,Guillaneau J C.Villeneuve J,et al.Computer and Method for Grinding Process Type:China Patent, simulation of mineral and hydrometallurgical processes,USIM CN201210589882.0.2013-05-08 PAC2,a single software from design to optimization /Proceed- (代伟，柴天佑，丁进良，等.磨矿过程运行控制实验系统及 ings of International Symposium on Modelling Simulation Control 方法：中国专利，CN201210589882.0.2013-05-08) of Hydrometallurgical Processes.Quebec,1993:109 [3]Liu Y,Spencer S.Dynamie simulation of grinding circuits.Miner [16] Cecati C,Kolbusz J,Rozycki P,et al.A novel RBF training al- Eng,2004,17(11-12):1189 gorithm for short-term electric load forecasting and comparative [4]Chi Y.Yue H,Ding JL,et al.Design and implementation of the studies.IEEE T Ind Electron,2015,62(10)6519 simulation experiment for grinding process.Control Eng China, [17]Yu H,Xie TT,Paszezynski S,et al.Advantages of radial basis 2008,15(5):598 function networks for dynamic system design.IEEE T Ind Elec- (迟英，岳恒，丁进良，等.磨矿仿真实验平台的设计和实现 romn,2011,58(12):5438 控制工程，2008,15(5)：598) [18]Kolodner JL.An introduction to case-based reasoning.Artif In- [5]Li H B,Chai T Y,Zhang L Y.Hybrid intelligent optimal control tell Rev,1992,6(1):3 for flotation processes //2012 American Control Conference. [19]Riesbeck CK,Schank R C.Inside Case-based Reasoning.New Montreal,2012:4891 Jersey:Lawrence Erlbaum Associates,2013 [6]Geng ZX,Chai T Y,Yue H.A method of hybrid intelligent opti- [20]Zhou P,Chai T Y,Wang H.Intelligent optimal-setting control mal setting control for flotation process//7th World Congress on for grinding eircuits of mineral processing process.IEEE Trans Intelligent Control Automation.Chongqing,2008:4713 Autom Sci Eng,2009.6(4):730 [7]Dai W,Zhou P,Zhao D Y,et al.Hardware-in-the-loop simula- [21]Sidrak Y L.Control of the thickener operation in alumina produc- tion platform for supervisory control of mineral grinding process. tion.Control Eng Pract,1997,5(10):1417 Pouder Technol,2016,288:422 [22]Chai TY,Jia Y,Li H B,et al.An intelligent switching control [8]Dai W,Zhou P,Chai T Y.Research and development of optimal- for a mixed separation thickener process.Control Eng Pract, setting software platform based on optimal operational control inte- 2016,57:61 grated system.Comput Integr Manuf Sys,2013,19(4):798 [23]Li H B.Chai T Y,Fu J,et al.Adaptive decoupling control of (代伟，周平，柴天佑.运行优化控制集成系统优化设定软件平台 pulp levels in flotation cells.Asian J Control,2013,15(5): 的研究与开发.计算机集成制造系统，2013,19(4)：798) 1434工程科学学报,第 39 卷,第 9 期 图 14 浮选槽液位跟踪曲线 Fig. 14 Trace curves of the flotation tank level 参 考 文 献 [1] Li H B. Study on Intelligent Control System for a Mixed Separation Process [Dissertation]. Shenyang: Northeastern University, 2014 (李海波. 赤铁矿混合选别全流程智能控制系统的研究[学位 论文]. 沈阳: 东北大学, 2014) [2] Dai W, Chai T Y, Ding J L, et al. Experimental Control System and Method for Grinding Process Type: China Patent, CN201210589882. 0. 2013鄄鄄05鄄鄄08 (代伟, 柴天佑, 丁进良, 等. 磨矿过程运行控制实验系统及 方法: 中国专利, CN201210589882. 0. 2013鄄鄄05鄄鄄08) [3] Liu Y, Spencer S. Dynamic simulation of grinding circuits. Miner Eng, 2004, 17(11鄄12): 1189 [4] Chi Y, Yue H, Ding J L, et al. Design and implementation of the simulation experiment for grinding process. Control Eng China, 2008, 15(5): 598 (迟瑛, 岳恒, 丁进良, 等. 磨矿仿真实验平台的设计和实现. 控制工程, 2008, 15(5): 598) [5] Li H B, Chai T Y, Zhang L Y. Hybrid intelligent optimal control for flotation processes / / 2012 American Control Conference. Montr佴al, 2012: 4891 [6] Geng Z X, Chai T Y, Yue H. A method of hybrid intelligent opti鄄 mal setting control for flotation process/ / 7th World Congress on Intelligent Control & Automation. Chongqing, 2008: 4713 [7] Dai W, Zhou P, Zhao D Y, et al. Hardware鄄in鄄the鄄loop simula鄄 tion platform for supervisory control of mineral grinding process. Powder Technol, 2016, 288: 422 [8] Dai W, Zhou P, Chai T Y. Research and development of optimal鄄 setting software platform based on optimal operational control inte鄄 grated system. Comput Integr Manuf Sys, 2013, 19(4): 798 (代伟, 周平, 柴天佑. 运行优化控制集成系统优化设定软件平台 的研究与开发. 计算机集成制造系统, 2013, 19(4): 798) [9] Radhakrishnan V R. Model based supervisory control of a ball mill grinding circuit. J Process Control, 1999, 9(3): 195 [10] Bartlett J T. Process simulation and optimization using metsim / / Mineral Resources Management by Personal Computer. Littleton, 1987: 105 [11] Liu L L. Design and Development of the Simulation System for Shaft Furnace Process Control Based on METSIM Software [Dis鄄 sertation]. Shenyang: Northeastern University, 2014 (刘琳琳. 基于 METSIM 软件的竖炉过程控制仿真系统的设 计与开发[学位论文]. 沈阳: 东北大学, 2014) [12] Liu F Z, Gao H J, Qiu J B, et al. Networked multirate output feedback control for setpoints compensation and its application to rougher flotation process. IEEE T Ind Electron, 2014, 61 (1): 460 [13] Chen Z M, Hu Y J, Wang X, et al. Design of hardware鄄in鄄the鄄 loop simulation system for LTE鄄鄄 A system based on USRP / / 2016 IEEE 11th Conference on Industrial Electronics and Applica鄄 tions (ICIEA). Hefei, 2016: 2081 [14] Rajamani R K, Herbst J A. Optimal control of a ball mill grind鄄 ing circuit———I. Grinding circuit modeling and dynamic simula鄄 tion. Chem Eng Sci, 1991, 46(3): 861 [15] Durance M V, Guillaneau J C, Villeneuve J, et al. Computer simulation of mineral and hydrometallurgical processes, USIM PAC2, a single software from design to optimization / / Proceed鄄 ings of International Symposium on Modelling Simulation Control of Hydrometallurgical Processes. Quebec, 1993: 109 [16] Cecati C, Kolbusz J, R佼z ·ycki P, et al. A novel RBF training al鄄 gorithm for short鄄term electric load forecasting and comparative studies. IEEE T Ind Electron, 2015, 62(10): 6519 [17] Yu H, Xie T T, Paszczynski S, et al. Advantages of radial basis function networks for dynamic system design. IEEE T Ind Elec鄄 tron, 2011, 58(12): 5438 [18] Kolodner J L. An introduction to case鄄based reasoning. Artif In鄄 tell Rev, 1992, 6(1): 3 [19] Riesbeck C K, Schank R C. Inside Case鄄based Reasoning. New Jersey: Lawrence Erlbaum Associates, 2013 [20] Zhou P, Chai T Y, Wang H. Intelligent optimal鄄setting control for grinding circuits of mineral processing process. IEEE Trans Autom Sci Eng, 2009, 6(4): 730 [21] Sidrak Y L. Control of the thickener operation in alumina produc鄄 tion. Control Eng Pract, 1997, 5(10): 1417 [22] Chai T Y, Jia Y, Li H B, et al. An intelligent switching control for a mixed separation thickener process. Control Eng Pract, 2016, 57: 61 [23] Li H B, Chai T Y, Fu J, et al. Adaptive decoupling control of pulp levels in flotation cells. Asian J Control, 2013, 15 (5 ): 1434 ·1420·