The invention relates to an
intelligent control technology of an
internal combustion engine, in particular to a multivariable cooperative control method of a dual-fuel engine, which realizes dynamic optimization matching of
fuel injection and an air
system through deep
reinforcement learning and multivariable decoupling control technologies. According to the method, a dual-fuel engine multivariable cooperative
control system based on deep
reinforcement learning and dynamic decoupling is constructed, the dual-fuel engine multivariable cooperative
control system is composed of an air
system control layer, a multivariable decoupling layer and a
fuel injection control layer, and the air
system control layer controls the
fuel injection control layer through a TD3-PID
algorithm according to the vehicle speed, the vehicle speed and the vehicle speed. The rotating speed N, the torque T, the
common rail pressure Prail, the fuel temperature Tfuel and the
mixed fuel density rho mix are operated in real time to serve as state variables, data are collected and processed, and the dynamic adjustment amount of the
electronic throttle valve is obtained; by means of a PSO-PID decoupling mechanism and a DDPG-PID
intelligent control algorithm, decoupling regulation and control over the dual-fuel dynamic ratio, the EGR rate and the supercharging pressure according to working condition changes are achieved, the economical efficiency, the emission performance and the dynamic performance of the dual-fuel engine under the dynamic operation working condition are remarkably improved, and the method has the advantages of being high in self-
adaptive capacity and high in robustness.