A quantum PSO algorithm for feedback control of semi-autonomous driver assistance systems

With the aging of the population, the development of automotive technology has become increasingly important for preventing car accident caused by senior drivers. As a basic research of driver assistance system for senior drivers, we propose a novel control design method for steering support. In this method, we consider the stability and limitation of a system, so that senior drivers can driver more safely and comfortably. In the context, we first use a particle swarm optimization (PSO) based method to search the optimal feedback gain under constraints for achieving tracking control. Moreover, to reduce the convergence time further, the particle swarm optimization algorithm is combined with quantum computing for the purpose. Simulation results also indicate that the proposed feedback controller based on the quantum particle swarm optimization (QPSO) is capable of providing satisfactory computational performance for the trajectory tracking and stabilization.