과제정보
본 연구는 정부(미래창조과학부)의 재원(NRF-2016R1E1A1A01943543)으로 한국 연구재단의 지원을 받아 수행된 사업임.
참고문헌
- Kamakar, S., Chattopadhyay, S. Mitra, M. and Sengupta, S., 2016, "Induction motor fault diagnosis: approach through current signature analysis", Springer.
- Jeon, N. and Lee, H., 2016, "Integrated fault diagnosis algorithm for motor sensor of in-wheel independent drive electric vehicles", Sensors, Vol. 16, No. 12, pp. 2106. https://doi.org/10.3390/s16122106
- Abci, B., El Najjar, M. E. B. and Cocquempot, V., 2019, "Sensor and actuator fault diagnosis for a multi-robot system based on the Kullback-Leibler Divergence", 2019 4th Conference on Control and Fault Tolerant Systems (SysTol) IEEE, pp. 68~73.
- Kommuri, S. K., Defoort, M., Karimi, H. R. and Veluvolu, K. C., 2016, "A robust observer-based sensor fault-tolerant control for PMSM in electric vehicles", IEEE Transactions on Industrial Electronic, Vol. 63, No. 12, pp. 7671~7681. https://doi.org/10.1109/TIE.2016.2590993
- Mekki, H., Benzineb, O., Tadjine, M. and Benbouzid, M., 2015, "Sliding mode based fault detection, reconstruction and fault tolerant control scheme for motor systems", ISA transactions, Vol. 57, No. 7, pp. 340~351. https://doi.org/10.1016/j.isatra.2015.02.004
- Karras, G. C. and Fourlas, G. K., 2020, "Model predictive fault tolerant control for omni-directional mobile robots", Journal of Intelligent & Robotics Systems, Vol. 97, No. 5, pp. 635~655. https://doi.org/10.1007/s10846-019-01029-7
- Abci, B., El Najjar, M. E. B., Cocquempot, V. and Dherbomez, G., 2020, "An informational approach for sensor and actuator fault diagnosis for autonomous mobile robots", Journal of Intellignet & Robotic Systems, Vol. 99, No. 2, pp. 387~406. https://doi.org/10.1007/s10846-019-01099-7
- Zhang, X., Xie, Y., Jiang, L., Li, G., Meng J. and Huang, Y., 2019, "Fault-tolerant dynamic control of a four-wheel redundantly-actuated mobile robot", IEEE Access, Vol. 7, pp. 157909~157921. https://doi.org/10.1109/access.2019.2949746
- Boukhari, M. R., Chaibet, A., Boukhnifer, M. and Glaser, S., 2016, "Sensor fault tolerant control strategy for autonomous vehicle driving", 2016 13th International Multi-Conference on Systems, Signal & Devices (SSD), IEEE, pp. 241~248.
- Realpe, M., Vintimilla, B. and Vlacic, L., 2015, "Sensor fault detection and diagnosis for autonomous vehicles", MATEC Web of Conferences, Vol. 30, No. 04003, pp. 1~6.
- Fourlas, G. K., Karras, G. C. and Kyriakopoulos, K. J., 2015, "Sensors fault diagnosis in autonomous mobile robots using observer-Based technique", 2015 International Conference on Control, Automation and Robotics, IEEE, pp. 49~54.
- Jeong, Y., Kim, K., Kim, B., Yoon, J., Chong, H., Ko, B. and Yi, K., 2015, "Vehicle sensor and actuator fault detection algorithm for automated vehicles", 2015 IEEE Intelligent Vehicles Symposium (IV), IEEE, pp. 927~932.
- Edwards, C., Alwi, H. and Tan, C. P., 2010, "Sliding mode methods for fault detection and fault tolerant control", 2010 Conference on Control and Fault- Tolerant Systems (SysTol), IEEE, pp. 106~117.
- Boukhari, M. R., Chaibet, A., Boukhnifer, M. and Glaser, S., 2018, "Proprioceptive sensors' fault tolerant control strategy for an autonomous vehicle", Sensors, Vol. 18, No. 6, pp. 1893~1917. https://doi.org/10.3390/s18061893
- Tran, M. K. and Fowler, M., 2020, "Sensor fault detection and isolation for degrading lithium-ion batteries in electric vehicles using parameter estimation with recursive least squares", Batteries, Vol. 6, No. 1, pp. 1~16. https://doi.org/10.3390/batteries6010001
- O'Doherty, J. P., Lee, S. W. and McNamee, D., 2015, "The structure of reinforcement-learning mechanisms in the human brain", Current Opinion in Behavioral Sciences, Vol. 1, No. 2, pp. 94~100. https://doi.org/10.1016/j.cobeha.2014.10.004