Study on Parameters Self-tuning of Speed Servo System Based on LS_SVM Model

摘要：

Support Vector Machine (SVM) can approach any of the nonlinear function,so it can be used to reconstruct the dynamic features of the practical system.Driven by the demand of the parameters self-tuning of the speed servo system,a parameters self-tuning method based on Least Squares Support Vector Machine (LS_SVM) reference model of the practical system had been put forward.In the parameters tuning process,at first,a variable amplitude triangular wave signal of variable frequency was used to stimulate the system,and the input and output data sets under the open-loop state of the actual system were collected,then,by using LS_SVM in learning the data sets,a reference model with similar dynamic characteristics to the actual system was established,finally,a coordinate rotation optimization algorithm was employed to find the optimum parameters of the practical system based on the achieved LS_SVM reference model,the parameters self-tuning process of speed servo system was completed indirectly.The proposed parameters self-tuning method in this paper was proved effective by simulation results.

关键词： servo system identification least squares support vector machine self-tuning coordinate rotatory method.

作者: Peng-zhan Chen Xiao-qi Tang

作者单位: National NC system Engineering Research Centre,Huazhong University of Science and Technology,Wuhan,430074,Hubei province,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）