A Neuro-fuzzy Internal Model Controller and its Application in Turbochargers

This paper presents a control approach for turbochargers aimed at maintaining a constant rotational speed and understanding its dynamic characteristics within the operating regime. An important aspect to consider when identifying the engineering characteristics of a turbocharger is the disturbance in the key operating conditions. Variations in the temperature and oil pressure ranges of the turbocharger are examined. A ratio control system is designed for the combustion chamber to maintain stable physical conditions in the turbocharger. This system ensures a constant air-fuel ratio aligned with the stoichiometric combustion requirements, while adjusting the characteristics of the thermal process to generate the energy necessary to operate the turbine. The mathematical model is developed and implemented in Matlab/Simulink®. The most relevant fault-tolerant control strategies are designed and selected for implementation in the combustion chamber. This paper also presents a neuro-fuzzy internal model controller for maintaining constant turbocharger speed, which is crucial for efficient operation and fault diagnosis.