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Fault-Tolerant Control Strategy for Steering Failures in Wheeled Planetary Rovers
Author(s) -
Alexandre Carvalho Leite,
Bernd Schäfer,
Marcelo Lopes de Oliveira e Souza
Publication year - 2012
Publication title -
journal of robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 14
eISSN - 1687-9619
pISSN - 1687-9600
DOI - 10.1155/2012/694673
Subject(s) - computer science , fault tolerance , controller (irrigation) , fault (geology) , actuator , process (computing) , control theory (sociology) , control reconfiguration , control engineering , mode (computer interface) , control (management) , simulation , artificial intelligence , embedded system , engineering , distributed computing , seismology , agronomy , biology , geology , operating system
Fault-tolerant control design of wheeled planetary rovers is described. This paper covers all steps of the design process, from modeling/simulation to experimentation. A simplified contact model is used with a multibody simulation model and tuned to fit the experimental data. The nominal mode controller is designed to be stable and has its parameters optimized to improve tracking performance and cope with physical boundaries and actuator saturations. This controller was implemented in the real rover and validated experimentally. An impact analysis defines the repertory of faults to be handled. Failures in steering joints are chosen as fault modes; they combined six fault modes and a total of 63 possible configurations of these faults. The fault-tolerant controller is designed as a two-step procedure to provide alternative steering and reuse the nominal controller in a way that resembles a crab-like driving mode. Three fault modes are injected (one, two, and three failed steering joints) in the real rover to evaluate the response of the nonreconfigured and reconfigured control systems in face of these faults. The experimental results justify our proposed fault-tolerant controller very satisfactorily. Additional concluding comments and an outlook summarize the lessons learned during the whole design process and foresee the next steps of the research

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