Design Model-free Fuzzy Sliding Mode Control: Applied to Internal Combustion Engine

Modeling and control of engine systems are vital due to wide range of their applications. As it isobvious stability is the minimum requirement in any control system, however the proof of stabilityis not trivial especially in the case of nonlinear systems. One of the most active research areas infield of internal combustion engine (IC engine) is control of the fuel ratio. The strategies for controlof engines are classified into two main groups: classical and non-classical methods, where theclassical methods used the conventional control theory and non-classical methods used theartificial intelligence theory such as fuzzy logic, neural networks and/or neurofuzzy. One of thebest nonlinear robust controllers which can be used in uncertainty nonlinear systems is slidingmode controller (SMC). Chattering phenomenon is the main challenge in this controller. Fuzzylogic and neuro control have been applied successfully in many applications. Therefore stablecontrol of an internal combustion engine is challenging because it has uncertain dynamicparameters. This research presents design a fuzzy sliding mode control with improved in slidingmode algorithm which offers a model-free sliding mode methodology. The fuzzy sliding modecontroller is designed as a 49 rules Mamdani’s error-based fuzzy sliding-like equivalent partinstead of nonlinear dynamic equation of equivalent part. Various performance indices like theminimum error, trajectory, disturbance rejection, and chattering control are used for comparison.