Research on an inertial positioning system for a parallel kinematic machine

Mechatronics

Volumn 15, Issue 1, 2005, Pages 1-22

  Gao, J ^a   Webb, P ^a   Gindy, N ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Inertial sensors; Kalman filter; Parallel kinematic machines (PKM); Position and orientation estimation; Tool centre point (TCP) measurement

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONTROL SYSTEMS; GYROSCOPES; KALMAN FILTERING; KINEMATICS; MATHEMATICAL MODELS; SERVOMOTORS;

INERTIAL SENSORS; PARALLEL KINEMATIC MACHINES (PKM); POSITION AND ORIENTATION ESTIMATION; TOOL CENTRE POINT (TCP) MEASUREMENT;

MECHATRONICS;

EID: 9244247617     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2004.07.001     Document Type: Article

References (14)

1. Whittingham B. Capabilities of parallel link machine tools: preliminary investigations of the Variax Hexacenterä. In: ASME international mechanical engineering congress and exposition. California, USA: Anaheim; 1998.
2. Soons JA. Error analysis of a hexapod machine tool. In: Lambdamap'97: 3rd international conference and exhibition on laser metrology and machine performance, July, 1997. p. 347-58.
3. Janocha H, Diewald B. ICAROS: Over-all-calibration of industral robots. Ind Rob 1995;22(3):15-20.
4. Application of ring laser gyros to precision machine tools. Minneapolis, MN: Honeywell Technology Center; 1994.
5. Barshan B, Durrant-Whyte HF. Inertial navigation systems for mobile robots. IEEE Trans Rob Autom 1995;11(3):328-42.
6. Gelb A. In: Gelb A, editor. Applied optimal estimation. Massachusetts: The MIT Press; 1974.
7. Brown RG, Hwang PYC. Introduction to random signals and applied Kalman filtering with Matlab exercises and solutions, third ed. John Wiley & Sons; 1998.
8. Nebot E, Durrant-Whyte H. A high integrity navigation architecture for outfoor autonomous vehicles. Rob Autom Syst 1999;26:81-97.
9. Farrell J, Barth M. The global positioning system and inertial navigation. USA: McGraw-Hill; 1998.
10. Yaakov B-S, Tomas EF. Tracking and data association. Academic Press; 1988.
11. Gao J, Webb P, Gindy N. Error reduction for an inertial-sensor-based dynamic PKM positioning system. Meas Sci Technol 2003;14(5):543-50.
12. Gao J. Dynamic position sensing for parallel kinematic machine. PhD thesis, The University of Nottingham, Nottingham, UK, 2002.
13. Julier SJ. Process models for the navigation of high-speed land vehicles. PhD thesis, University of Oxford, 1997.
14. Whittingham B. Applications of the kinematic modelling of a parallel kinematic mechanism machine tool. PhD thesis, The University of Nottingham, Nottingham, UK, 2000.