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Predictive Duty Cycle Current Hysteresis Control for Fault-Tolerant Permanent Magnet Rim Drive Motor |
Wang Zhibin, Zhu Jingwei, Zhao Xiyang, Liu Yonghan, Cao Haichuan |
School of Marine Electrical Engineering Dalian Maritime University Dalian 116026 China |
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Abstract The application of fault-tolerant permanent magnet rim drive motor (FTPM-RDM) in the rim-driven thruster (RDT) can improve the space utilization and efficiency of the ship, and significantly improve the reliability of the propulsion system. In recent years, scholars have proposed direct torque control, model predictive current control and other control algorithms for FTPM-RDM, but there are problems such as complex algorithm and slow response speed. With the traditional current hysteresis band pulse width modulation (CHBPWM) control strategy, each phase winding of FTPM-RDM can be controlled separately, which has the advantages of simple algorithm and fast fault tolerant control of open-circuit and short-circuit fault. However, due to the limitation of the operation speed of the digital controller and the switching frequency allowed by the power devices, the traditional CHBPWM control strategy has the disadvantages of large current ripple and high distortion rate, resulting in large torque ripple. To solve this problem, this paper proposes a predictive duty cycle CHBPWM control strategy, which can effectively improve current control accuracy and reduce motor torque ripple while retaining the simplicity and fast response of traditional CHBPWM algorithm. The FTPM-RDM predictive duty cycle CHBPWM control system is a dual closed-loop vector control method using an outer loop for speed and an inner loop for current. First, the error between the given speed and the actual speed is obtained through PI regulator and coordinate transformation to obtain the given value of each phase current in the static coordinate system. Then, the predicted current hysteresis width of each phase winding in the next cycle is obtained through the rotor position, electrical angular velocity and DC bus voltage of the motor at the current moment. Then, the predicted duty cycle of each phase is obtained according to the actual current relative hysteresis position to achieve the closed-loop control of the motor. At the same time, combined with fault-tolerant control strategy, one phase open and short circuit fault tolerant control of motor can be realized. This method optimizes the traditional CHBPWM control by predicting the current hysteresis width and duty cycle of a single sampling period in real time, effectively improving the control accuracy of motor phase current. Comparing the simulation results of the two control strategies, the predicted duty cycle CHBPWM control strategy has significantly less current harmonics and pulsations than the traditional CHBPWM control strategy under the healthy, one phase open-circuit and short-circuit conditions. The torque ripple of the former is 1.47%, 3.20% and 5.40% respectively, while that of the latter is 14.13%, 16.07% and 19.93%. The torque ripple of the former is obviously smaller than that of the latter. Comparing the experimental data of the two control strategies, the measured current waveform and torque waveform obtained by the predictive duty cycle CHBPWM control are more accurate than those obtained by the traditional CHBPWM control before and after the open-circuit fault and under the condition of one phase short-circuit fault. The current ripple and distortion degree of the former are obviously smaller than those of the latter. The torque ripple of the former is 17.14%, 22.86% respectively, and the torque ripple of the latter is 28.57%, 42.86%, The torque ripple of the former is obviously smaller than that of the latter. The simulation and experimental results show that the predictive duty cycle CHBPWM control algorithm has a good effect in restraining the torque ripple, reducing the current ripple and harmonic distortion of the motor under the same working conditions, whether the motor is in the healthy, one phase open-circuit or short-circuit fault conditions, and solves the problem that the switching frequency of the traditional CHBPWM control algorithm is not fixed, and the control accuracy is low under the fixed sampling frequency, while retaining the advantages of the CHBPWM algorithm's simplicity and fast system response.
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Received: 11 August 2021
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