Robust fuzzy fault tolerant control for induction motor subject to sensor fault

Habib Ben Zina , Moez Allouche , Maha Bouattour , Mansour Souissi (1) , Mohamed Chaabane (2) , Larbi Chrifi Alaoui (3)

1 ENIS - École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax
2 Lab-STA
3 LTI - Laboratoire des technologies innovantes - UR UPJV 3899

This study presents a strategy of fault tolerant control (FTC) to keep the vector controlled induction motor (IM). The aim is to minimise the effect of the sensor fault and the parametric uncertainties. Firstly, a fuzzy proportional multiple integral observer (PMIO) is used to estimate simultaneously the system state and the sensor fault. Secondly, a feedback robust state tracking control is synthesised to guarantee the control performances. The proposed controller is based on a T-S reference model to specify the desired trajectory. The performances of the trajectory tracking are analysed using the Lyapunov theory and the L2 optimisation. The gains of the observer and controller are obtained by solving a set of LMIs constraint. Finally, simulation results are given to show the effectiveness of the proposed control scheme. © 2018 Inderscience Enterprises Ltd.

Domaines: Sciences de l'ingénieur [physics]

Habib Ben Zina, Moez Allouche, Maha Bouattour, Mansour Souissi, Mohamed Chaabane, et al.. Robust fuzzy fault tolerant control for induction motor subject to sensor fault. International Journal of Automation and Control, 2018, 12 (2), pp.271. ⟨10.1504/IJAAC.2018.090812⟩. ⟨hal-03688924⟩