ABSTRACT
The desired trajectory is regarded as a virtual leader, then, the multiple High Speed Trains moving on the railway is viewed as a leader-following vehicle platoon. Strong string stability of this platoon is guaranteed to maintain safety spacing between consecutive trains. By combining adaptive fuzzy logic systems techniques with proportional and integral-based sliding mode control method, two novel adaptive fuzzy control schemes are developed to guarantee individual stability and strong string stability of whole train platoon even in presence of actuator faults. A novel fuzzy structure with minimal computational complexity is proposed based on a novel parameter estimation technique, where the number of learning parameters is independent of the number of the fuzzy rules. In practical train systems, unanticipated actuator failures may occur, inevitably the case in practice for long-term operation. The two control schemes are constructed to achieve individual train stability and strong string stability of whole train platoon.
