研究一类特殊的移动机器人系统-多转向驱动拖挂式移动机器人(Multi-steering tractor-trailer mobile robot,MSTTMR)的镇定控制问题.首先,通过状态坐标变换和控制输入变换将具有任意节车体的多转向驱动系统的运动学模型转化为多输入幂...研究一类特殊的移动机器人系统-多转向驱动拖挂式移动机器人(Multi-steering tractor-trailer mobile robot,MSTTMR)的镇定控制问题.首先,通过状态坐标变换和控制输入变换将具有任意节车体的多转向驱动系统的运动学模型转化为多输入幂式形式;然后,基于幂式形式设计一种ρ指数级收敛的镇定控制器,并证明其稳定性.针对两车体系统的镇定控制仿真表明该方法的有效性.展开更多
A new castor wheel mechanism for omni-directional mobile platform is presented. A motion of translation is transformed into a rotation to steer the wheel with the help of a helical path fits into a translation joint a...A new castor wheel mechanism for omni-directional mobile platform is presented. A motion of translation is transformed into a rotation to steer the wheel with the help of a helical path fits into a translation joint and three rollers whose axes are connected to the driving shaft of the wheel. When the path moves in translation it acts on the rollers for steering. The path-roller friction transmission, the wheel kinematics and the maneuverability have been analyzed.展开更多
Position and orientation estimation with high accuracy based on GPS and encoders for a four-wheel-steering vehicle (4WS) mobile robot is presented. A GPS receiver working in Real-Time Kinematics (RTK) mode can offer c...Position and orientation estimation with high accuracy based on GPS and encoders for a four-wheel-steering vehicle (4WS) mobile robot is presented. A GPS receiver working in Real-Time Kinematics (RTK) mode can offer centimeter-level accuracy for our vehicle. In addition to GPS, the vehicle is equipped with four incremental encoders and two absolute encoders to provide information on wheels for estimation of velocity and sideslip angle of vehicle. The proposed architecture of position and orientation estimation consists of two extended Kalman filters and a processing unit of Runga-Kutta based dead reckoning. The first EKF fuses data from six encoders to estimate the vehicle velocity and the sideslip angle. The second EKF is applied to the estimation of position and orientation based on the measurement from precise RTK GPS data and output from first EKF. To obtain higher accuracy of estimation, an arbitrator is designed to switch between EKF2 and dead reckoning. The results and analysis of experiments are presented to show the effectiveness of the proposed approach. Limitations of the proposed approach and future works are also pointed out and discussed in this paper.展开更多
To solve the problem of multi-turning attitudes,unknown ground parameters and complex skidsteering control for serpentine tracked robots(STR),a fuzzy control method based on the estimation of track curvature and side ...To solve the problem of multi-turning attitudes,unknown ground parameters and complex skidsteering control for serpentine tracked robots(STR),a fuzzy control method based on the estimation of track curvature and side slip angles is proposed.Based on the track-ground interaction,mathematical models are established for stable turning in the way of recursive homogeneous transformation.The navigation parameters such as rack curvature and side slip angles have approximately linear relationship with the yaw angles of articulate joints.Then attitude models in turning control are studied and summarized.Transforming strategies of attitude models are optimized.Based on the strategies,an adjustable fuzzy controller is designed.In the controller,an estimator is set to solve the problem of unknown and variable universe.The estimator predicts the track curvature by metabolic linear least squares estimate.Experiments have verified the feasibility and validity of the controller.展开更多
文摘研究一类特殊的移动机器人系统-多转向驱动拖挂式移动机器人(Multi-steering tractor-trailer mobile robot,MSTTMR)的镇定控制问题.首先,通过状态坐标变换和控制输入变换将具有任意节车体的多转向驱动系统的运动学模型转化为多输入幂式形式;然后,基于幂式形式设计一种ρ指数级收敛的镇定控制器,并证明其稳定性.针对两车体系统的镇定控制仿真表明该方法的有效性.
文摘A new castor wheel mechanism for omni-directional mobile platform is presented. A motion of translation is transformed into a rotation to steer the wheel with the help of a helical path fits into a translation joint and three rollers whose axes are connected to the driving shaft of the wheel. When the path moves in translation it acts on the rollers for steering. The path-roller friction transmission, the wheel kinematics and the maneuverability have been analyzed.
文摘Position and orientation estimation with high accuracy based on GPS and encoders for a four-wheel-steering vehicle (4WS) mobile robot is presented. A GPS receiver working in Real-Time Kinematics (RTK) mode can offer centimeter-level accuracy for our vehicle. In addition to GPS, the vehicle is equipped with four incremental encoders and two absolute encoders to provide information on wheels for estimation of velocity and sideslip angle of vehicle. The proposed architecture of position and orientation estimation consists of two extended Kalman filters and a processing unit of Runga-Kutta based dead reckoning. The first EKF fuses data from six encoders to estimate the vehicle velocity and the sideslip angle. The second EKF is applied to the estimation of position and orientation based on the measurement from precise RTK GPS data and output from first EKF. To obtain higher accuracy of estimation, an arbitrator is designed to switch between EKF2 and dead reckoning. The results and analysis of experiments are presented to show the effectiveness of the proposed approach. Limitations of the proposed approach and future works are also pointed out and discussed in this paper.
基金Supported by the National High Technology Research and Development Program of China(No.2007AA041501)
文摘To solve the problem of multi-turning attitudes,unknown ground parameters and complex skidsteering control for serpentine tracked robots(STR),a fuzzy control method based on the estimation of track curvature and side slip angles is proposed.Based on the track-ground interaction,mathematical models are established for stable turning in the way of recursive homogeneous transformation.The navigation parameters such as rack curvature and side slip angles have approximately linear relationship with the yaw angles of articulate joints.Then attitude models in turning control are studied and summarized.Transforming strategies of attitude models are optimized.Based on the strategies,an adjustable fuzzy controller is designed.In the controller,an estimator is set to solve the problem of unknown and variable universe.The estimator predicts the track curvature by metabolic linear least squares estimate.Experiments have verified the feasibility and validity of the controller.