Induction Motor The paper proposes a novel approach based on a current space vector derived from measured stator currents to diagnose speed and current sensor failures in the field-oriented control of induction motor drives. A comparison algorithm between the reference and measured rotor speed is used to detect the speed sensor faults.
Induction Motor A counter is added to eliminate the influence of the encoder noise in the diagnosis method. In this approach, estimated quantities are not used in the proposed speed sensor fault diagnosis strategy, which increases the independence between the diagnosis stages in the fault-tolerant control (FTC) method.
Induction Motor Moreover, in order to discriminate between the speed sensor faults and the current sensor faults, a new approach combining the current space vector and a delay function is proposed to reliably determine the current sensor failures. The MATLAB-Simulink software was used to verify the idea of the proposed method.
Induction Motor Practical experiments with an induction motor drive controlled by DSP TMS320F28335 were performed to demonstrate the feasibility of this method in practice. The simulation and experimental results prove the effectiveness of the proposed diagnosis method for induction motor drives.
- Fault-tolerant control
- Induction motor
- Sensorless control
Figure 1. Block Diagram of FTC Unit.
EXPECTED SIMULATION RESULTS:
Figure 2. Simulation Results – Speed Sensor Fault _ FTC.
Figure 3. Simulation Results _ Scaling Current Sensor Fault _ FTC.
Figure 4. Simulation Results _ Total Current Sensor Fault _ FTC.
Induction Motor This paper presents a novel diagnosis method for the speed and current sensor fault-tolerant control of induction motor drives. The proposed method has proven its effectiveness in dealing with multi-type sensor failures. The speed sensor fault diagnosis algorithm can reliably detect the inaccuracy of the speed sensor signals without interference by random pulse noises.
Induction Motor The loss of the current sensor signals, which is the most severe current sensor fault, is quickly detected by the delay-algorithm. Other types of current sensor failures is reliably identified without misunderstanding with a speed sensor fault. The proposed diagnosis algorithm is simpler than other existing detection methods, and thus
the computational hardware system executes faster as well as cheaper due to the lower calculation burden for the same operating conditions. The simulation and experimental results have demonstrated the efficiency of the proposed method. Further research can be implemented to improve the diagnosis of the sensor faults in transient states.
 A. Gouichiche, A. Safa, A. Chibani, and M. Tadjine, “Global fault-tolerant control approach for vector control of an induction motor,” Int. Trans. Electr. Energy Syst., vol. 30, no. 8, Aug. 2020, Art. no. e12440, doi: 10.1002/2050-7038.12440.
 D. Diallo, M. E. H. Benbouzid, and M. A. Masrur, “Special section on condition monitoring and fault accommodation in electric and hybrid propulsion systems,” IEEE Trans. Veh. Technol., vol. 62, no. 3, pp. 962_964, Mar. 2013, doi: 10.1109/TVT.2013.2245731.
 A. A. Amin and K. M. Hasan, “A review of fault tolerant control systems: Advancements and applications,” Measurement, vol. 143, pp. 58_68, Sep. 2019, doi: 10.1016/j.measurement.2019.04.083.
 A. Raisemche, M. Boukhnifer, C. Larouci, and D. Diallo, “Two active fault-tolerant control schemes of induction-motor drive in EV or HEV,” IEEE Trans. Veh. Technol., vol. 63, no. 1, pp. 19_29, Jan. 2014, doi: 10.1109/TVT.2013.2272182.
 Y. Azzoug, A. Menacer, R. Pusca, R. Romary, T. Ameid, and A. Ammar, “Fault tolerant control for speed sensor failure in induction motor drive based on direct torque control and adaptive stator _ux observer,” in Proc. Int. Conf. Appl. Theor. Electr. (ICATE), Oct. 2018, pp. 1_6.