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Current Sensor Fault Diagnosis Based on a Sliding Mode Observer for PMSM Driven Systems.

Huang G, Luo YP, Zhang CF, Huang YS, Zhao KH - Sensors (Basel) (2015)

Bottom Line: Then a sliding mode current observer is constructed in αβ coordinates to generate the fault residuals of the phase current sensors.The RT-LAB real-time simulation is used to build a simulation model of the hardware in the loop.The simulation and experimental results demonstrate the feasibility and effectiveness of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. gangder@csu.edu.cn.

ABSTRACT
This paper proposes a current sensor fault detection method based on a sliding mode observer for the torque closed-loop control system of interior permanent magnet synchronous motors. First, a sliding mode observer based on the extended flux linkage is built to simplify the motor model, which effectively eliminates the phenomenon of salient poles and the dependence on the direct axis inductance parameter, and can also be used for real-time calculation of feedback torque. Then a sliding mode current observer is constructed in αβ coordinates to generate the fault residuals of the phase current sensors. The method can accurately identify abrupt gain faults and slow-variation offset faults in real time in faulty sensors, and the generated residuals of the designed fault detection system are not affected by the unknown input, the structure of the observer, and the theoretical derivation and the stability proof process are concise and simple. The RT-LAB real-time simulation is used to build a simulation model of the hardware in the loop. The simulation and experimental results demonstrate the feasibility and effectiveness of the proposed method.

No MeSH data available.


Related in: MedlinePlus

Experimental results when a gain fault is applied to the phase ‘b’ current sensor: (a) Zoom of experimental electromagnetic torque and residual responses; (b) Zoom of experimental actual and observing stator currents responses; (c) Zoom of experimental phase currents responses. (a) (torque: 500 Nm/div; residual: 60 A/div; t: 50 ms/div); (b) (current: 150 A/div; t: 50 ms/div); (c) (current: 100 A/div; t: 50 ms/div).
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sensors-15-11027-f026: Experimental results when a gain fault is applied to the phase ‘b’ current sensor: (a) Zoom of experimental electromagnetic torque and residual responses; (b) Zoom of experimental actual and observing stator currents responses; (c) Zoom of experimental phase currents responses. (a) (torque: 500 Nm/div; residual: 60 A/div; t: 50 ms/div); (b) (current: 150 A/div; t: 50 ms/div); (c) (current: 100 A/div; t: 50 ms/div).

Mentions: To verify the fault diagnosis algorithm based on sliding mode observer, a real-time RT-LAB hardware-in-the-loop system was built and is shown in Figure 23; the RT-LAB platform is shown in Figure 24. It contains a TMS320F2812 DSP controller and RT-LAB OP5600 real-time simulation model (inverter and PMSM). The models of control object (inverter and PMSM) are compiled and then downloaded into the OP5600, and the designed controller model is converted into ‘C’ code and then downloaded into the DSP controller. The analog output signals, such as current signal and position signal of the motor, are collected and then converted to signals with the amplitude of ±10 V, after this, completing the corresponding control algorithm, while six-channel PWM pulses are exported and then sent to the real-time simulation model, the hardware-in-the-loop system of PMSM can be achieved. In this system, the PWM carrier frequency is set at 5 KHz, and the sampling period is set at 20 μs, the parameters of the interior PMSM are listed in Table 2. The experiment results are shown from Figure 25, Figure 26 and Figure 27.


Current Sensor Fault Diagnosis Based on a Sliding Mode Observer for PMSM Driven Systems.

Huang G, Luo YP, Zhang CF, Huang YS, Zhao KH - Sensors (Basel) (2015)

Experimental results when a gain fault is applied to the phase ‘b’ current sensor: (a) Zoom of experimental electromagnetic torque and residual responses; (b) Zoom of experimental actual and observing stator currents responses; (c) Zoom of experimental phase currents responses. (a) (torque: 500 Nm/div; residual: 60 A/div; t: 50 ms/div); (b) (current: 150 A/div; t: 50 ms/div); (c) (current: 100 A/div; t: 50 ms/div).
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Related In: Results  -  Collection

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sensors-15-11027-f026: Experimental results when a gain fault is applied to the phase ‘b’ current sensor: (a) Zoom of experimental electromagnetic torque and residual responses; (b) Zoom of experimental actual and observing stator currents responses; (c) Zoom of experimental phase currents responses. (a) (torque: 500 Nm/div; residual: 60 A/div; t: 50 ms/div); (b) (current: 150 A/div; t: 50 ms/div); (c) (current: 100 A/div; t: 50 ms/div).
Mentions: To verify the fault diagnosis algorithm based on sliding mode observer, a real-time RT-LAB hardware-in-the-loop system was built and is shown in Figure 23; the RT-LAB platform is shown in Figure 24. It contains a TMS320F2812 DSP controller and RT-LAB OP5600 real-time simulation model (inverter and PMSM). The models of control object (inverter and PMSM) are compiled and then downloaded into the OP5600, and the designed controller model is converted into ‘C’ code and then downloaded into the DSP controller. The analog output signals, such as current signal and position signal of the motor, are collected and then converted to signals with the amplitude of ±10 V, after this, completing the corresponding control algorithm, while six-channel PWM pulses are exported and then sent to the real-time simulation model, the hardware-in-the-loop system of PMSM can be achieved. In this system, the PWM carrier frequency is set at 5 KHz, and the sampling period is set at 20 μs, the parameters of the interior PMSM are listed in Table 2. The experiment results are shown from Figure 25, Figure 26 and Figure 27.

Bottom Line: Then a sliding mode current observer is constructed in αβ coordinates to generate the fault residuals of the phase current sensors.The RT-LAB real-time simulation is used to build a simulation model of the hardware in the loop.The simulation and experimental results demonstrate the feasibility and effectiveness of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. gangder@csu.edu.cn.

ABSTRACT
This paper proposes a current sensor fault detection method based on a sliding mode observer for the torque closed-loop control system of interior permanent magnet synchronous motors. First, a sliding mode observer based on the extended flux linkage is built to simplify the motor model, which effectively eliminates the phenomenon of salient poles and the dependence on the direct axis inductance parameter, and can also be used for real-time calculation of feedback torque. Then a sliding mode current observer is constructed in αβ coordinates to generate the fault residuals of the phase current sensors. The method can accurately identify abrupt gain faults and slow-variation offset faults in real time in faulty sensors, and the generated residuals of the designed fault detection system are not affected by the unknown input, the structure of the observer, and the theoretical derivation and the stability proof process are concise and simple. The RT-LAB real-time simulation is used to build a simulation model of the hardware in the loop. The simulation and experimental results demonstrate the feasibility and effectiveness of the proposed method.

No MeSH data available.


Related in: MedlinePlus