Performance investigation of an advanced diagnostic method for SSTPI-fed IM drives under single and multiple open IGBT faults

Abstract

Purpose This paper aims to analyze and investigate the performance of an improved fault detection and identification (FDI) method based on multiple criteria, applied to six-switch three-phase inverter (SSTPI)-fed induction motor (IM) drives under both single and multiple open insulated-gate bipolar transistors(IGBT) faults. Design/methodology/approach This paper proposes an advanced diagnostic method for both single and multiple open IGBT faults dedicated to SSTPI-fed IM drives considering five distinct faulty operating conditions as follows: a single IGBT open-circuit fault, a single-phase open-circuit fault, a non-crossed double fault in two different legs, a crossed double fault in two different legs and a three-IGBT open-circuit fault. This is achieved because of the introduction of a new diagnosis variable provided using the information of the slope of the current vector in (α-β) frame. The proposed FDI method is based on the synthesis and the analysis, under both healthy and faulty operations, of the behaviors of the introduced diagnosis variable, the three motor phase currents and their normalized average values. Doing so, the developed FDI method allows a best compromise of fast detection and precision localization of IGBT open-circuit fault of the inverter. Findings Simulation works, carried out considering the implementation of the direct rotor flux oriented control in an IM fed by the conventional SSTPI, have proved the high performance of the advanced FDI method in terms of fast fault detection associated with a high robustness against false alarms, against speed and load torque fast variations and against the oscillations of the DC-bus voltage in the case of both healthy and faulty operations. Research limitations/implications This work should be extended considering the validation of the obtained simulation results through experiments. Originality/value Different from other FDI methods, which suffer from a low diagnostic effectiveness for low load levels and false alarms during transient operation, this method offers the potentialities to overcome these drawbacks because of the introduction of the new diagnosis variable. This latter, combined with the information provided from the three motor phase currents and their normalized average values allow a more efficient detection and identification of IGBT open-circuit fault.

PWM-VSI Diagnostic and Reconfiguration Method Based on Fuzzy Logic Approach for SSTPI-Fed IM Drives under IGBT OCFs

“…For all healthy and faulty cases, the load torque and the reference speed have been taken equal to 1.75 N.m and 200 rad/sec, respectively. Based on the study of all diagnosis variable behaviors under various operating conditions provided in [25], the threshold values k f , k d , k s , k p , and k g are equal to 0.06, 0.275, 0.28, -0.408, and 0.161, respectively. After the FLC diagnostic processes, the fault's information can be determined using this proposed diagnostic method.…”

“…e threshold values (k f , k d , k s , k p , and k g ) can be analyzed through the study of the diagnosis variable behaviors under healthy and faulty cases [25]. In this work, 27 possible faulty IGBT combinations are addressed in Table 1, where F represents the number of each fault (F � [1 27]).…”

“…Indeed, in order to compensate for the switch OCF, a step of SSTPI-IM reconfiguration must be found. is reconfiguration strategy is based on the change of the SSTPI-IM topology to the FSTPI-IM topology by using a relay without redundant leg [25][26][27]. By using this novel FLC diagnostic method and reconfiguration strategy, the simulation results prove to confirm their high efficiency and performance in terms of detection and identification of the single OCF and phase OCF without power losses and false alarms during speed and load variations.…”

Optimal Shedding Against Voltage Collapse Based on Genetic Algorithm

“…Failure in voltage regulation, at the group terminal level, engenders an acceleration of the voltage plane degradation, likely to culminate in cascade tripping, of groups and lines, as well as voltage collapse of the general electricity network. Such faults could well affect the power converters' operation, bringing about a total shutdown of the entire electrical production chain [6][7][8][9].…”