Stochastic MPC-Based Air-Fuel Ratio Regulation of Compressed Natural Gas Engines

Abstract

In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines is considered by employing stochastic model predictive control (MPC) technology. A stochastic model predictive regulator based on a discrete-time dynamic model of CNG engines is proposed, taking into account the residual gas, and the closed-loop system is deduced to be stochastically stable. A numerical simulation is performed to demonstrate the effectiveness of the proposed control scheme under two working conditions. The simulation results show that the performance of the proposed stochastic model predictive regulator is better than that of the open-loop controller.

Keywords

• Stochastic model predictive control
• air-fuel ratio regulation
• compressed natural gas engines