Article Dans Une Revue International Journal of Power Electronics and Drive Systems Année : 2020

Super-twisting sliding mode controllers based on D-PSO optimization for temperature control of an induction cooking system

Résumé

In this study, we perform the control of the temperature evolution versus time of induction cooking system using a super twisting sliding mode control (STSMC) based on Dynamic Particle Swarm Optimization (D-PSO). First, we will determine the evolution of the temperature in the middle of the pan bottom using the FEM method. The found temperature exceeds the limit of the desired cooking temperature (150-200°C). Second, to limit temperature increase, a (ST-SMC) method combined with a (D-PSO) algorithm is used to get the desired temperature. 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.
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hal-04925944 , version 1 (03-02-2025)

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Abdeldjalil Abdelkader Mekki, Abdelkader Kansab, Mohamed Matallah, Zinelaabidine Boudjema, Mouloud Feliachi. Super-twisting sliding mode controllers based on D-PSO optimization for temperature control of an induction cooking system. International Journal of Power Electronics and Drive Systems, 2020, 11 (2), pp.1055. ⟨10.11591/ijpeds.v11.i2.pp1055-1064⟩. ⟨hal-04925944⟩

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