A wireless MEMS-based swing angle measurement system

Real time swing angle measurement can be used to improve the efficiency and quality for crane control system. This paper presents a wireless microelectromechanical system (MEMS) based swing angle measurement system. The system consists of two MEMS-based attitude heading reference system (AHRS) sensing units with wireless communication, which are mounted on the hook (or payload) and the jib (or base) of the crane, respectively. The orientation of the payload and the base can be measured by the mounted MEMS-based AHRS sensors. Wireless Zigbee communication is employed to transmit the orientation of the payload to the sensor unit mounted on the base which measures the orientation of the base. Therefore, the swing angles of the payload can be calculated based on the two measured orientation parameters. Preliminary experiments were performed to show the feasibility and effectiveness of the proposed swing angle measurement system.

[1]  Robert M. Sanner,et al.  A coupled nonlinear spacecraft attitude controller and observer with an unknown constant gyro bias and gyro noise , 2003, IEEE Trans. Autom. Control..

[2]  Q. H. Ngo,et al.  Sliding-Mode Antisway Control of an Offshore Container Crane , 2012, IEEE/ASME Transactions on Mechatronics.

[3]  Abdelhamid Tayebi,et al.  Attitude stabilization of a VTOL quadrotor aircraft , 2006, IEEE Transactions on Control Systems Technology.

[4]  Gaurav S. Sukhatme,et al.  A tale of two helicopters , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[5]  Jung-Keun Lee,et al.  Minimum-Order Kalman Filter With Vector Selector for Accurate Estimation of Human Body Orientation , 2009, IEEE Transactions on Robotics.

[6]  Hongjun Chen,et al.  Nonlinear controller for a gantry crane based on partial feedback linearization , 2005, 2005 International Conference on Control and Automation.

[7]  Y. Yoshida,et al.  Visual tracking and control of a moving overhead crane load , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[8]  Xin-Jun Liu,et al.  A new spatial three-DoF parallel manipulator with high rotational capability , 2005 .

[9]  Hongjun Chen,et al.  Dynamical modelling and nonlinear control of a 3D crane , 2005, 2005 International Conference on Control and Automation.

[10]  A.-J. Baerveldt,et al.  A low-cost and low-weight attitude estimation system for an autonomous helicopter , 1997, Proceedings of IEEE International Conference on Intelligent Engineering Systems.

[11]  John L. Crassidis,et al.  Survey of nonlinear attitude estimation methods , 2007 .

[12]  Mostafa Ghayour,et al.  Sensorless anti-swing control for overhead crane using voltage and current measurements , 2015 .

[13]  F. Markley,et al.  Nonlinear Attitude Filtering Methods , 2005 .

[14]  Mahmud Iwan Solihin,et al.  Fuzzy-tuned PID Anti-swing Control of Automatic Gantry Crane , 2010 .

[15]  William Singhose,et al.  Effects of hoisting on the input shaping control of gantry cranes , 2000 .

[16]  Mostafa Ghayour,et al.  Swing angle estimation for anti-sway overhead crane control using load cell , 2011 .

[17]  Hongjun Chen,et al.  A practical optimal controller for underactuated gantry crane systems , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.

[18]  Yan Yu,et al.  Wireless inclinometer acquisition system for reducing swing movement control module experiment of hook model , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[19]  Jin Xu-nan Research on Acquisition of the Cranes Swinging Angle based on Accelerometer , 2010 .

[20]  Jianqiang Yi,et al.  Adaptive sliding mode fuzzy control for a two-dimensional overhead crane , 2005 .