Multivariable Control of Residual-Affected HCCI Engines Based on Model Predictive Control

Abstract

A two-input and two-output physical model for pressures and combustion phases was built to realize the coordinated control of the peak pressures and combustion phases for a homogeneous charge compression ignition (HCCI) engine. This model is based on the Shaver' residual-affected HCCI engine model with the constant wall temperature heat transfer model suitable for HCCI combustion. A cooperative control system of pressure and combustion phase was designed using the model predictive control (MPC) theory with the variable valve timing (VVT) as the control method. The coordinated simulation experiment was done by using GT-Power and Matlab/Simulink. The results show that the control model satisfies the engine control demand, realizes the collaborative control of the pressure and combustion phase with control accuracies of ±30 kPa and ±0.6° CA, and the response time of 6-7 engine cycles.