A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive

Zidani, F.; Diallo, Demba; Benbouzid, Mohamed; Nait-Said, Rachid

doi:10.1109/tie.2007.911951

Cited by 299 publications

(120 citation statements)

References 28 publications

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“…Actually, fault-tolerant control concepts are divided into "passive" and "active" approaches [1][2][3]. Assuming the possible faults are known a priori, the passive method takes into account of all these possible faults in the design stage and Online ISSN 1848-3380, Print ISSN 0005-1144 ATKAFF 57(3), 736-748(2016) does not change the controller when the fault occurs [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Roubache¹,

Chaouch

Said

2016

Automatika

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Original scientific paperThis paper proposes an improved sensorless fault-tolerant control (FTC) for high-performance induction motor drives (IMD) that propels an electric-vehicle (EV). The design strategy is based on the Backstepping control (BC). However an appropriate combination of the BC and extended kalman filter (EKF) is done, this later is designed in order to detect and reconstruct the faults and also to give a sensorless control. Then, additional control laws, based on the estimates of the faults, are designed in order to compensate the faults. The results show the superiority EKF in nonlinear system as it provides better estimates for faults detection. A classical EV traction system is studied, using an IMD. Indeed, the IMD based powertrain is coupled to DC machine-based load torque emulator taking into account the EV mechanics and aerodynamics. Finally, the effectiveness of the proposed strategy for detection of faults, and FTC of the IMD is illustrated through simulation studies. Key words: Backstepping control (BC), Fault-tolerant control (FTC), Induction motor drives (IMD), Extended kalman filter (EKF), Electric vehicle (EV).Rekurzivna izvedba za uočavanje kvarnih stanja i upravljanje otporno na kvarna stanja električnih vozila zasnovanih na indukcijskim motorima. U ovome radu predložena je unaprije ena bez-senzorska upravljačka strategija otporna na kvarna stanja (FTC) za indukcijski motor visokih performansi koji pokreće električno vozilo (EV). Strategija je temeljena na rekurzivnom upravljanju (BC). Nadalje, izvedena je odgovarajuća kombinacija BC-a i proširenog Kalmanovog filtra (EKF), pričemu je potonji izveden u svrhu uočavanja i rekonstrukcije kvarova te kako bi omogućio bez-senzorsko upravljanje. Kako bi se kompenzirala kvarna stanja, dizajnirani su dodatni upravljački zakoni zasnovani na estimaciji kvarova. Rezultati prikazuju poboljšanje korištenjem EKF-a za nelinearne sustave budući da on omogućava kvalitetnije uočavanje kvarova. Razmatran je klasični pogon EV-a korištenjem IMD-a. Tako er, pogonski sklop zasnovan na IMD-u je povezan s emulatorom momenta zasnovanom na DC motoru, uzimajući u obzir mehaničke i aerodinamičke karakteristike EV-a. Na posljetku je simulacijama ilustrirana efikasnost predložene strategije za uočavanje kvarnih stanja i FTC-a IMD-a.Ključne riječi: Rekurzivno upravljanje (BC), upravljanje otporno na kvarna stanja (FTC), indukcijski motor (IMD), prošireni kalmanov filtar (EKF), električno vozilo (EV). INTRODUCTIONA motor control system with high robustness is an important issue in research. Induction motor drives (IMD) are making significant inroads, because of robustness and rugged structure. They are widely used in industrial applications such as, electric vehicles (EVs), traction locomotives etc. In the last decade, fault tolerance becomes an interesting topic in their controls. The objective is to give solutions that provide fault accommodation to the most frequent faults and thereby reduce the costs of handling the faults. Backstepping control (BC) is a robust...

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Section: Introductionmentioning

confidence: 99%

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Roubache¹,

Chaouch

Said

2016

Automatika

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“…In papers [4][5][6][7][8][9][10][11][12] open-switch fault diagnostic methods based on the analysis of the current vector hodograph function in the α-β complex plane were presented. In case of the first technique [4], a failure detection and a localization is achieved if an absolute value of the current vector exceeds some threshold at the time, when it takes characteristic position in the α-β coordinate system.…”

Section: Introductionmentioning

confidence: 99%

“…An identification of the data cluster which indicates the IGBT switch failure is achieved by utilizing uncomplicated calculations [8] or on the contrary, more sophisticated techniques like artificial intelligence methods [9]. Similar methods consist in the centroid calculation of the current vector trajectory in the α-β coordinate system [10,11] or in an a-b-c phase system [12]. For increasing the robustness to false diagnosis alarms under wide range load condition, a fuzzy logic based approach can be applied [11].…”

Section: Introductionmentioning

confidence: 99%

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Simple diagnostic technique of a single IGBT open-circuit faults for a SVM-VSI vector controlled induction motor drive

Orłowska-Kowalska¹,

Sobanski²

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. In this paper a simple diagnostic system for a single IGBT open-circuit faults for a two level voltage inverter-fed field oriented controlled induction motor drive was presented. A fault diagnostic procedure is carried out by utilizing an analysis of a stator current vector trajectory in α-ß coordinates. An extraction of the failure information is based on monitoring of an angle between the stator current space vector and the α axis. Thanks to a diagnostic signal normalization, high robustness to false diagnosis alarms is guaranteed. To confirm the proposed method, simulation results under a wide range working condition of the induction motor drive were presented.

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“…Zidani proposed a fuzzy based technique which detects and indentifies faulty switches in a voltage-fed PWM inverter for an induction motor drive using the Concordia current patterns. This method was applied in single inverter operation [6], [7]. Khomfoi proposed a fault diagnostic system to detect and identify the faulty location in a multilevel inverter using a neural network algorithm.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of a Voltage-Fed PWM Inverter for a Three-parallel Power Conversion System in a Wind Turbine

Lee²

2010

Journal of Power Electronics

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In this paper, a fault diagnosis method based on fuzzy logic for the three-parallel power converter in a wind turbine system is presented. The method can not only detect both open and short faults but can also identify faulty switching devices without additional voltage sensors or an analysis modeling of the system. The location of a faulty switch can be indicated by six-patterns of a stator current vector and the fault switching device detection is achieved by analyzing the current vector. A fault tolerant algorithm is also presented to maintain proper performance under faulty conditions. The reliability of the proposed fault detection technique has been proven by simulations and experiments with a 10kW simulator.

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A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive

Cited by 299 publications

References 28 publications

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Backstepping design for fault detection and FTC of an induction motor drives-based EVs

Simple diagnostic technique of a single IGBT open-circuit faults for a SVM-VSI vector controlled induction motor drive

Fault Diagnosis of a Voltage-Fed PWM Inverter for a Three-parallel Power Conversion System in a Wind Turbine

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