Optimized Control of Steering Mechanism Based on Active Radial Bogie

Abstract

This paper introduces three sorts of algorithms to search for an optimal steering angle control of the active radial bogie with the optimized parameters of the PID controller. Thus, a convergence effect with no overshoot, no steady-state error, and high response speed can be achieved. By building a mathematical model of the multi-link mechanism, BLDC drive, and gearbox, the transfer function of the whole drive system can be calculated and applied to the closed-loop control of the system. Finally, a series of simulation experiments show that the genetic algorithmic rule we introduced can be successfully used to the active steering angle control of ARB with high efficiency.