Quantum particle swarm optimisation algorithm for feedback control of semi-autonomous driver assistance systems

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.