In today's automotive power train control, the usage of model based control system is getting more focused because of the advantages associated with this approach. The model-based system can be implemented to predict and control different control parameters associated with Power train control.
As a part of this work a multivariable control oriented model is developed to control the inlet manifold airflow of a small S.I. engine running on Gas. A stepper motor-based actuator is placed on the gas flow control path. A model based controller approach is adopted to control the actuator, which is placed on the low-pressure tube with inlet manifold to control the gas flow.
In the initial phase of work, a state based non-linear model is developed for the actuator. This model captures the total dynamics of a permanent magnet stepper motor-based flow control device in a state space model. Different parameters for the model are calculated using system identification methodology.
In the second phase of work, a mean value model for inlet manifold is developed. In this model, the above-mentioned actuator is placed on an addition to the carburetor for the manifold airflow path. The manifold air pressure (MAP) and manifold airflow (MAF) are identified as the main control variable for this work. The stepper motor position is the control signal for the above-mentioned multivariable system. The non-linear model proposed in the previous section provides the position feedback for the controller.