Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive

Tran, Cuong Dinh; Kuchař, Martin; Sobek, Martin; Sotola, Vojtech; Dinh, Bach Hoang

doi:10.3390/s22228636

Cited by 10 publications

(12 citation statements)

References 43 publications

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“…The research model of IMD in this paper applies the FOC strategy for motor speed control. In the FOC method, a rotation coordinate [ x , y ] with the x -axis equivalent to the rotor flux is used to separate the stator current into two perpendicular components, i Sx and i Sy , as shown in Figure 1 [ 15 ]. The current component i Sx will be controlled to maintain the rotor flux constant with the motor’s rated flux.…”

Section: Fault-tolerant Control Strategy Against the Sensor Faultsmentioning

confidence: 99%

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Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures

Tran,

Kuchar,

Sotola

et al. 2024

Sensors

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This paper proposes a fault-tolerant control (FTC) strategy using the current space vectors to diagnose sensor failures and enhance the sustained operation of a field-oriented (FO) controlled induction motor drive (IMD). Three space vectors are established for the sensor fault diagnosis technique, including one converted from the measured currents and the other two calculated from the current estimation technique, respectively, measured and with reference speeds. A mixed mathematical model using three space vectors and their components is proposed to accurately determine the fault condition of each sensor in the motor drive. After determining the operating status of each sensor, if the sensor signal is in good condition, the feedback signal to the controller will be the measured signal; otherwise, the estimated signal will be used instead of the failed signal. Failure states of the various sensors were simulated to check the effectiveness of the proposed technique in the Matlab/Simulink environment. The simulation results are positive: the IMD system applying the proposed FTC technique accurately detected the failed sensor and maintained stability during the operation.

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Section: Fault-tolerant Control Strategy Against the Sensor Faultsmentioning

confidence: 99%

“…After the incorrectly measured signals are determined, SEPLL signals reconfigure the false signals. In articles [ 14 , 15 ], current sensor diagnosis methods based on an integration algorithm [ 14 ] and based on the rotor slip [ 15 ] are developed to detect current sensor faults in the IMD during the operation.…”

Section: Introductionmentioning

confidence: 99%

Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures

Tran,

Kuchar,

Sotola

et al. 2024

Sensors

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“…Speed sensorless methods such as MRAS. Sliding mode will be applied to calculate the estimated speed from the measured currents and reference voltages [26]. Correspondingly, appropriate current sensorless methods will be used to generate virtual currents [27].…”

Section: Sensor Fault-tolerant Controlmentioning

confidence: 99%

A Sensor Fault-Tolerant Control Solution Based on Current Observers Applied to Three Phase Induction Motor Drive

TRAN,

Lai,

et al. 2023

J. ADV. ENG. COMPUT.

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This paper presents a fault-tolerant control (FTC) solution to enhance the reliability and sustainability of a three-phase induction motor drive (IMD) against open circuit sensor failures (or total sensor faults). The motor speed control in the investigated drive will operate based on a field-oriented control (FOC) strategy. A typical FTC function consists of two main processes: fault detection of feedback signals from the sensors and reconfiguration of the control methods. This paper proposes using two-phase current observers to diagnose various sensor failures, and then the corresponding sensorless methods are applied to the control reconfiguration. Using MATLAB/SIMULINK software, the IMD-integrated FTC function was operated and tested under different fault conditions. Simulation results have proved that the IMD-integrated FTC function has worked stably and sustainably even in sensor failure conditions.

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“…With precise models, diagnostic systems can be developed, as shown in the research by ref. [4], where a diagnostic method based on a rotor slip was designed to detect faults in the current and speed sensors during the induction motor operation. Another example is from ref.…”

Section: Introductionmentioning

confidence: 99%

Metaheuristic and Heuristic Algorithms-Based Identification Parameters of a Direct Current Motor

Munciño,

Damian-Ramírez,

Cruz-Fernández

et al. 2024

Algorithms

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Direct current motors are widely used in industry applications, and it has become necessary to carry out studies and experiments for their optimization. In this manuscript, a comparison between heuristic and metaheuristic algorithms is presented, specifically, the Steiglitz–McBride, Jaya, Genetic Algorithm (GA), and Grey Wolf Optimizer (GWO) algorithms. They were used to estimate the parameters of a dynamic model that approximates the actual responses of current and angular velocity of a DC motor. The inverse of the Euclidean distance between the current and velocity errors was defined as the fitness function for the metaheuristic algorithms. For a more comprehensive comparison between algorithms, other indicators such as mean squared error (MSE), standard deviation, computation time, and key points of the current and velocity responses were used. Simulations were performed with MATLAB/Simulink 2010 using the estimated parameters and compared to the experiments. The results showed that Steiglitz–McBride and GWO are better parametric estimators, performing better than Jaya and GA in real signals and nominal parameters. Indicators say that GWO is more accurate for parametric estimation, with an average MSE of 0.43%, but it requires a high computational cost. On the contrary, Steiglitz–McBride performed with an average MSE of 3.32% but required a much lower computational cost. The GWO presented an error of 1% in the dynamic response using the corresponding indicators. If a more accurate parametric estimation is required, it is recommended to use GWO; however, the heuristic algorithm performed better overall. The performance of the algorithms presented in this paper may change if different error functions are used.

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Sensor Fault Diagnosis Method Based on Rotor Slip Applied to Induction Motor Drive

Cited by 10 publications

References 43 publications

Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures

Fault-Tolerant Control Based on Current Space Vectors against Total Sensor Failures

A Sensor Fault-Tolerant Control Solution Based on Current Observers Applied to Three Phase Induction Motor Drive

Metaheuristic and Heuristic Algorithms-Based Identification Parameters of a Direct Current Motor

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