Modified MRAS approach for sensorless speed control of induction motor for reliability improvement

Ganjewar, Shrinivas P.; Pahariya, Yogesh

doi:10.1007/s41870-021-00847-z

Cited by 1 publication

(2 citation statements)

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“…The fault flags' status and the FDI's corresponding output are indicated in Table 1. The estimated signals can be implemented by applying suitable methods such as MRAS, Sliding mode observer (SMO),.. [19][20][21][22] for the estimated speed (𝜔 ̂); and machine modeling, Luenberger Observer (LO),.. [23][24][25][26][27] for the estimated current (𝑖 𝑆𝛼 ̂, 𝑖 𝑆𝛽 ̂). This paper applies the SMO and LO methods to simulate the estimated signals, and these sensorless techniques have been verified for stability by the Lyapunov function in the reference.…”

Section: ˆ_ [( ) ( ) ] )mentioning

confidence: 99%

“…This method separates the two stages of error diagnosis and reconfiguration into two independent processes that facilitate their independent development. Paper [18] After correctly identifying the faulty sensor, FTC will isolate uncertain feedback signals and apply appropriate sensorless techniques, including speed sensorless [19][20][21][22] and current sensorless [23][24][25][26][27], to maintain IMD's operation. In this paper, in order to improve the stability, an improved FTC technique applying mathematical functions for diagnosing the operating status of sensors is integrated with the controller of IMD against the total current and speed sensor faults.…”

Section: Introductionmentioning

confidence: 99%

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Improved Sensor Fault-Tolerant Control Technique Applied to Three-Phase Induction Motor Drive

Nguyen

Tran

2023

IJEEI

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An improved fault-tolerant control (FTC) method using mathematical functions is applied to the induction motor drive (IMD) against current sensors and speed encoder failures, which occur when the sensor is disconnected or completely damaged. The IMD with two current sensors and an encoder is speed controlled based on the field-oriented control (FOC) technique in regular operation. In this paper, an FTC unit is implemented in the FOC controller to detect and solve the sensor fault to increase the reliability of the speed control process. The measured stator currents and the feedback speed signal are integrated into the diagnosis algorithms to create a sensor fault-tolerant control function. Three diagnosis functions operating in a defined sequence are proposed for determining the health status of current and speed sensors. The FTC function performs isolation and replaces the faulty sensor signals with the proper estimated signals; then, the IMD will operate in the corresponding sensorless mode. Simulations will be performed to verify the accuracy and reliability of the proposed method under various sensor faults.

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