ABSTRACT:
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. 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. 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. Practical experiments with an induction motor drive controlled
by DSP 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.
KEYWORDS:
1. Fault-tolerant
control
2. Diagnosis
3. Induction motor
4. FOC
5. Sensorless
control
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
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.
CONCLUSION:
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. 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.
REFERENCES:
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
