Simulation study of multitrailer control system using neurocontrollers evolved by a modified GA

In this paper, we propose a design method of neurocontrollers (NCs) evolved by a genetic algorithm (GA) for the backward movement control of multitrailer systems. In a previous study, we proposed a control method using NCs evolved by a modified GA to solve the backward movement control problem for a two-trailer-connected truck system. In the report, the modified GA which adaptively changes the number of offspring and the mutation rate according to the diversity of NC population has good control performance. However, the difficult and complexity of the backward movement control depends on the number of connected trailers, then the method of NCs with GA evolution is often not able to produce a better controller, or the GA process takes too much time to obtain NCs that can control the trailer-truck system successfully. For the multitrailer (three of more connected trailer) system, the control performance of NCs by the modified GA method is not clear. In this paper, we apply the modified GA to the multitrailer control system. The simulation results show that the modified GA still improves the search performance of NCs for the three- and four-trailer-connected systems.