Experimental research and prediction of screw dosing based on least squares support vector machine
CUI Shoujuan1, ZHANG Xiliang1, XU Yunfeng2, SU Qiang1, SUN Xiang1, ZHANG Yu1
1.School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang, Jiangsu 212013, China
Abstract：The feeding precision of screw feeder is determined by various factors, such as the rotational speed, filling rate and so on. It is usually difficult to calculate the accurate feeding quantity through a precise mathematical model. In this paper, we predicted the feeding quantity through machine learning based on three factors. The most important factor was the rotational angle, the other two factors were rotational speed and filling rate. The least squares support vector machine(LS-SVM)was used to learn the nonlinear relationship between the feeding quantity and these factors. To achieve the best performance, the parameters of LS-SVM were tuned through the cross-validation. A real feeding experiment was carried out to verify our method. The experimental results demonstrate that the prediction values of LS-SVM are consistent with the real values. Moreover, the precision of our LS-SVM is better than the estimation from theoretical calculation and BPNN. The prediction error of our method is only ±0.02 if the filling rate is close to 1. In summary, our method has high precision and can be applied to the control of screw feeder.
崔守娟, 张西良, 徐云峰, 粟强, 孙祥, 张宇. 基于LS-SVM的螺旋定量加料预测及试验研究[J]. 排灌机械工程学报, 2016, 34(12): 1099-1104.
CUI Shoujuan, ZHANG Xiliang, XU Yunfeng, SU Qiang, SUN Xiang, ZHANG Yu. Experimental research and prediction of screw dosing based on least squares support vector machine. Journal of Drainage and Irrigation Machinery Engin, 2016, 34(12): 1099-1104.
[1]李振亮,付长江,李亚.定量螺旋给料机的结构研究[J]. 盐业与化工,2010,39(1):27-29. LI Zhenliang, FU Changjiang, LI Ya. Quantitative spiral feeder structural research[J]. Journal of salt and chemical industry, 2010, 39(1): 27-29.(in Chinese)[2]张西良,罗胜,许俊,等.基于智能Agent螺旋不连续定量加料方法及系统:201110402790.2[P].2012-06-27.[3]MOYSEY Paul A. Discrete element simulation of the solids conveying zone of a single-screw extruder[D]. Hamilton: Mc Master University, 2007.[4]张西良,马奎,王辉,等,颗粒尺寸对螺旋加料机定量加料性能的影响[J]. 农业工程学报,2014,30(5):19-25. ZHANG Xiliang, MA Kui, WANG Hui, et al. Effect of particle size on precision dosing of screw feeder [J]. Transactions of the CSAE, 2014, 30(5): 19-25.(in Chinese)[5]HOU Q F, DONG K J, YU A B.DEM study of the flow of cohesive particles in a screw feeder [J]. Powder technology, 2014, 236: 529-539.[6]KRETZ D, CALLAU-Monje S, HITSCHLER M, et al. Discrete element method(DEM)simulation and validation of a screw feeder system[J]. Powder technology, 2016, 287: 131-138.[7]ROBERTS A W. The influence of granular vortex motion on the volumetric performance of enclosed screw conve-yors [J]. Powder technology,1999(104):56-67.[8]李振亮,万文艳,李亚.定量螺旋给料机在粉洗盐生产中的应用研究[J].盐业与化工,2008,37(2):8-19. LI Zhenliang,WAN Wenyan,LI Ya.Application and research on the quantitative spiral conveyor for the powder salt production[J]. Salt and chemical industry,2008,37(2):8-19.(in Chinese)[9]罗胜,张西良,许俊,等. 螺旋不连续加料装置结构优化与性能仿真[J].农业工程学报,2013,29(3):250-257. LUO Sheng, ZHANG Xiliang, XU Jun, et al. Structure optimization and performance simulation of screw discontinuous feeding device[J]. Transactions of the CSAE,2013, 29(3): 250-257.(in Chinese)[10]邹心遥,姚若河. 基于 BP 神经网络的电子元器件寿命预测[J]. 微电子学与计算机,2009,26(1): 52-54. ZOU Xinyao,YAO Ruohe. Life prediction of electronic devices based on forecast system of back propagation neural network[J].Microelectronics and computer,2009,26(1): 52-54.(in Chinese)[11]徐俐. 基于BP神经网络的动态定量称重控制系统的研究和设计[D].山东大学, 2005:15-19.[12]SUYKENS J A K, VANDEWALLE J. Least squares support vector machine classifiers[J]. Neural proces-sing letters, 1999, 9(3): 293-300.[13]龙文, 梁昔明, 龙祖强. 基于混合 PSO 优化的 LSSVM 锅炉烟气含氧量预测控制[J].中南大学学报(自然科学版), 2012, 43(3): 980-985. LONG Wen, LIANG Ximing, LONG Zhuqiang. O2 content in flue gas of boilers predictive control based on hybrid PSO and LSSVM[J]. Journal of Central South University(science and technology), 2012, 43(3): 980-985.(in Chinese)[14]万昌江,姜松.CAD在碾米机零部件设计中的应用[J].粮食与饲料工业,1997(8):10-12. WAN Changjiaing, JIANG Song. Application of compu-ter aided design(CAD)for designing components in rice whitener[J]. Food and feed industry. 1997(8):10-12.(in Chinese)[15]VAPNIK V,CHAPELLE O.Bounds on error expectation for support vector machines[J].Neural computation,2000,12(9): 2013-2036.[16]SCHOLKOPF B, SMOLA A J. Learning with kernels[M]. Cambridge, MA: MIT Press, 2001: 222-226.
