欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对在偏航姿态测量信息未知时偏置动量卫星姿态跟踪控制，提出了一种新的滑模观测器及其对应的自适应滑模控制器设计方法。基于滚动轴和俯仰轴信息，设计了一种经过平滑的滑模观测器，抑制高频抖震的同时提高状态估计的鲁棒性；设计的比例一积分滑模面，能实现积分滑模控制，抑制稳态误差，优化滑模的全程鲁棒性，并采用自适应方法，对不确定参数进行在线更新，补偿不确定参数的影响。数值仿真结果表明，相对于龙伯格观测器，该方法能提高偏航姿态信息估计精度，在保证系统鲁棒性的同时，滚动和偏航轴姿态跟踪精度分别提高约50％。
英文摘要：
A method for design of the novel adaptive sliding mode observer and its corresponding controller is proposed for momentum biased satellite at titude tracking control with unknown measure yaw attitude. The smooth sliding mode observer is designed by using roll and pitch information so as to improve the state estima tion robustness while suppressing high-frequency chattering. A proportional and integral sliding mode surface is proposed to implement an integral sliding mode control which could mitigate the steady-state error and optimize the global robustness of sliding mode. With purpose of compensating the passive effect of uncertain parameters, an adaptive update law is presented based on an adaptive method. Numerical simulation results show that, compared with Luenberger observer, the proposed method could improve the yaw attitude estimation accuracy and improve the pitchwaw axis tracking precision by 50% as well as the guaranty of the robustness.
同期刊论文项目
同项目期刊论文
Novel Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problems in Packet Radio Netw
期刊信息
位置：