Sensor Fault Tolerant Control of Induction Motor Drive

Abstract

Due to the advantages of economics, ruggedness, self-starting, and stable in operation, the three-phase induction motor (IM) is the most popular electrical machine in the industry. In the past, IMs were used in the uncontrollable-speed applications. With advanced technologies in high-performance power converters and modern control algorithms, IMs can work effectively in variable-speed drives. In practice, abnormal operation of IMs could occur due to the malfunctions of sensor errors. The loss of feedback signals can lead to incorrect actions of the controller. And if such sensor failures cannot be detected and solved quickly, it can lead to more serious problems and then causes damage to the whole IM drive system. Therefore, fault-tolerant control (FTC) methods have been researched and proposed as effective solutions against sensor failures to enhance the reliability of the IM system. In this thesis, the theory of techniques for fault-tolerant against current and speed sensor failures in the induction motor drive is described. The improvement of sensor-fault diagnosis methods is proposed. The estimated signals are used as the solution to reconfigure the control of the IM drive in the sensor-fault conditions. The simulations in MATLAB – Simulink environment are used to verify the performance of the proposed algorithms. Next, the DSP TMS320F28335 has been applied to the experiment corresponding to the simulations. Finally, the experiment results of FTC methods are presented to demonstrate the feasibility and effectiveness of the proposed methods against sensor faults.

Due to the advantages of economics, ruggedness, self-starting, and stable in operation, the three-phase induction motor (IM) is the most popular electrical machine in the industry. In the past, IMs were used in the uncontrollable-speed applications. With advanced technologies in high-performance power converters and modern control algorithms, IMs can work effectively in variable-speed drives. In practice, abnormal operation of IMs could occur due to the malfunctions of sensor errors. The loss of feedback signals can lead to incorrect actions of the controller. And if such sensor failures cannot be detected and solved quickly, it can lead to more serious problems and then causes damage to the whole IM drive system. Therefore, fault-tolerant control (FTC) methods have been researched and proposed as effective solutions against sensor failures to enhance the reliability of the IM system. In this thesis, the theory of techniques for fault-tolerant against current and speed sensor failures in the induction motor drive is described. The improvement of sensor-fault diagnosis methods is proposed. The estimated signals are used as the solution to reconfigure the control of the IM drive in the sensor-fault conditions. The simulations in MATLAB – Simulink environment are used to verify the performance of the proposed algorithms. Next, the DSP TMS320F28335 has been applied to the experiment corresponding to the simulations. Finally, the experiment results of FTC methods are presented to demonstrate the feasibility and effectiveness of the proposed methods against sensor faults.