The development of automotive technology has become increasingly important for preventing car accidents. Hence, as a basic research of driver assistance systems, a novel control method has been proposed for steering support. In particular, the stability and limitation of such a system is investigated for the safe and comfortable drive. First, the particle swarm optimisation (PSO)‐based algorithm is used to search the optimal feedback gain under practical constraints for achieving tracking control. Moreover, to reduce the convergence time further, the PSO algorithm is combined with the technique of quantum computing. Simulation results indicate that the proposed feedback controller based on quantum PSO has the ability to provide efficient computational performance for trajectory tracking and stabilisation.
Quantum particle swarm optimisation algorithm for feedback control of semi‐autonomous driver assistance systems
IET Intelligent Transport Systems ; 8 , 7 ; 608-620
2014-11-01
13 pages
Article (Journal)
Electronic Resource
English
quantum computing , automotive technology , safe drive , stabilisation , driver information systems , feedback , semiautonomous driver assistance systems , accident prevention , trajectory tracking , road safety , particle swarm optimisation , comfortable drive , feedback controller , optimal feedback gain , road accidents , quantum particle swarm optimisation algorithm , stability , tracking control , quantum PSO algorithm , trajectory control , car accidents
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