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 require
Fault-tolerant robot manipulators based on output-feedback controllers
β Scribed by A.A.G. Siqueira; M.H. Terra; C. Buosi
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 920 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0921-8890
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β¦ Synopsis
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 completely after a fault detection. Then, with an underactuated configuration, the manipulator can be controlled appropriately. Secondly, it is shown that with the fault-tolerant system based on Markovian jump linear systems, stability is guaranteed after a fault is detected even with the robot still moving. This approach incorporates all manipulator configurations in a unified model. Both strategies have been implemented based on output-feedback H β controllers, which are the main focus of this paper. Experimental results illustrate the performance of each controller.
π SIMILAR VOLUMES
Fault tolerant motion planning of two spatial coordinating manipulators having two possible locked joints respectively is studied. First, the calculation method of fault tolerant workspace with respect to different joints is given, and the centrality index that measures the relative position between
## Abstract In this paper, we solve the problem of output tracking for linear uncertain systems in the presence of unknown actuator failures using discontinuous projectionβbased output feedback adaptive robust control (ARC). The faulty actuators are characterized as unknown inputs stuck at unknown