This paper develops two fault-tolerant control strategies for robot manipulators. The first is based on linear parameter-varying systems and the second on Markovian jump linear systems. Firstly, it is shown that with the LPV approach post-fault stability is guaranteed only if the robot stops complet
Real time fault tolerant control of robot manipulators
β Scribed by A. Noore
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 616 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0895-7177
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β¦ Synopsis
The complexity of computing the generalized forces or torques acting at the joints of a robot manipulator with n degrees of freedom directly effects the speed and accuracy of control. For real-time robust control, the large number of mathematical computations performed must satisfy the speed requirements and must also be error-free. In this paper, a combination of parallel and distributed processing techniques are proposed to compute the generalized forces using the Lagrangian formulation. The complexity of computation is reduced from the order f3(n3) to 0(n). It is show11 that with minor modification in the architecture, all single errors that occur during computation can be detected, located, and corrected for robust control.
π SIMILAR VOLUMES
Finite-time control of the robot system is studied through both state feedback and dynamic output feedback control. The e ectiveness of the proposed approach is illustrated by both theoretical analysis and computer simulation. In addition to o ering an alternative approach for improving the design o
This paper presents the development of a control algorithm, which combines the linear regulator theory and Takagi-Sugeno (T-S) fuzzy modeling. Each local controller consists in a feedback control term plus a trajectory tracking term. The global controller is determined by means of T-S methodology. T