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Highly efficient embedded control units for transportation means make use of advanced nonlinear control and estimation methods. In this research article a new nonlinear filtering and control method is applied to spark ignited (SI) engines. The proposed SI engine’s control scheme requires the implementation of differential flatness theory together with a new nonlinear filtering approach (known as Derivative-free nonlinear Kalman Filtering). The considered method succeeds the efficient control of the SI engine parameters such as intake pressure and turn speed. To bring the control loop at a working stage additional problems have to be solved. These are for instance that (i) certain variables of the engine’s state vector cannot be measured directly (e.g. the ones associated with input pressure), (ii) there are inaccuracies in the dynamic model of the SI engine while external perturbations and disturbances (such as friction torques) are exerted to the engine. The performance of the proposed control scheme is ...

The paper studies robust nonlinear control for gas exchange valves in diesel engines, with the use of the Derivative-free nonlinear Kalman Filter. Robust control of gas exchange valves is important for improving the efficiency in the operation of diesel engines. By applying differential flatness theory the initial nonlinear model of the system is transformed in the linear canonical (Brunovsky) form. For the latter model it is possible to design a state feedback controller that enables accurate tracking of the valve’s reference set-points. To estimate the nonmeasurable state variables of the model and the unknown external disturbances the Derivative-free nonlinear Kalman Filter is used as a disturbance observer. The Derivative-free nonlinear Kalman Filter consists of the standard Kalman Filter recursion on the linearized equivalent model of the valve and of computation of state and disturbance estimates using the diffeomorphism (relations about state variables transformation) provided by differential flatn...

In this paper nonlinear embedded control for turbocharged Diesel engines is developed with the use of Differential flatness theory and adaptive fuzzy control. It is shown that the dynamic model of the turbocharged Diesel engine is differentially flat and admits dynamic feedback linearization. It is also shown that the dynamic model can be written in the linear Brunovsky canonical form for which a state feedback controller can be easily designed. To compensate for modeling errors and external disturbances an adaptive fuzzy control scheme is implemanted making use of the transformed dynamical system of the diesel engine that is obtained through the application of differential flatness theory. Since only the system’s output is measurable the complete state vector has to be reconstructed with the use of a state observer. It is shown that a suitable learning law can be defined for neuro-fuzzy approximators, which are part of the controller, so as to preserve the closed-loop system stability. With the use of Ly...