Fuzzy Super-Twisting Sliding Mode Controllers based on D-PSO optimization for temperature control of an induction cooking system

Abdeldjalil Abdelkader mekki

Abstract


In this study, we perform the control of the temperature evolution versus time of the induction cooking system using a super twisting sliding mode control (ST-SMC) based on Dynamic Particle Swarm Optimization (D-PSO). We will first use the FEM method to determine the evolution of the temperature as a function of time in the middle of the pan bottom, where we find that the temperature exceeds the limit temperature of the cooking. Then, to limit temperature increase,  a (ST-SMC) method combined with a (D-PSO) algorithm are used to get the desired temperature suitable for cooking (150-200°C).Particles Swarm Optimization (D-PSO) method is used to optimize   the parameters of the gain of (ST-SMC) and  improve its performance. The simulation results show that the use of the optimized super twisting sliding mode controller helps to achieve a desired value of cooking.




DOI: http://doi.org/10.11591/ijpeds.v11.i2.pp%25p
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