System Identifcation for Helicopter Yaw Dynamic Modelling

摘要：

This paper presents a method to accurately identify the yaw-dynamic model of an unmanned helicopter. First, the models structure is established by dynamic analysis. Then the model is reconstructed into a combination of three secondorder subsystems. As the distribution of the damp ratios and natural frequencies of a second-order subsystems is limited, the model can be accurately identified from real-flight-test data. Finally, experiments are carried out to identify the yaw dynamic model. Results shown the modeling accuracy is improved through this approach.

关键词： Model Identification Aerial Robotics Dynamics Helicopter Genetic Algorithm

作者: Guanlin Wang Jihong Zhu Chengxu Yang Hui Xia

作者单位: Department of Computer Science and Technology,Tsinghua University,Beijing,China School of Automation,Nanjing University of Science and Technology,Nanjing,China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 54-57

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）