Parameter Tunning of NLADRC for VGT-EGR System in Diesel Engine Based on CARLA Algorithm

Abstract

In this paper, the parameters tunning problem for a nonlinear active disturbance rejection controller (NLADRC), which is applied to control a special air path system, including the exhaust gas recirculation and variable geometry turbine, in diesel engine. One of the main challenges in design NLADRC for a practical system is to tunning the parameters NLADRC, which are too many and affect each others. In this paper, based on continuous action reinforcement learning automata (CARLA), a NLADRC-CARLA parameter tunning algorithm is proposed. This algorithm can automatically learn the parameters satisfying the control performance. To verity the effectiveness of the proposed algorithm, simulation results are given for a variable geometry turbine and exhaust gas recirculation (VGT-EGR) system in a diesel engine.