A Nonlinear Model Predictive Controller Design for Electronic Throttle

A well-controlled electronic throttle not only improves the fuel economy, but also reduces the emission of harmful gases from incomplete combustion. With the development of the semiconductor industry, the computing performance of the electronic control unit has also increased, and it is also feasible to control the electronic throttle using model predictive control. In this work, a control-oriented model for the electronic throttle is proposed first. Then, based on the model identification, a nonlinear model predictive controller is developed. The optimal solution is obtained by using the sequential quadratic programming combing the multiple shooting tool. Simulation validation results show that the designed control system has acceptable performance.