Technical Papers Session VI: Fault signal detection of linear actuators based on intelligent remnant filter
Abstract/Description
Linear servo electro-mechanical actuators are very commonly found in a variety of critical dynamic systems including various aerospace applications and hazardous robotic applications. These actuators are specifically designed on the basis of required operating functional parameters. The performance of servo electromechanical actuators significantly affects the performance of overall dynamic system. This paper works to improve the reliability of linear servo electromechanical actuators through analytical redundancy for critical applications. A fault diagnostic algorithm is designed based on dynamic mathematical model and a remnant filter is implemented to detect signal errors. The remnant filter generates residual signal proportional to the error induced. Fault detection thresholds are set and decision logic is established to compare residual signal with the lower and upper pre-defined threshold constants. This designed diagnostic filter is tested experimentally on a fault diagnostic testing setup and results of designed model have been validated.
Keywords
Linear electro-mechanical actuator, Analytical redundancy, Model-based fault detection, Remnant filter, Fault diagnostic algorithm
Location
Room C9 (Aman Tower, 3rd floor)
Session Theme
Technical Papers Session VI - Networks
Session Type
Parallel Technical Session
Session Chair
Dr. Syed Hyder Abbas Musavi
Start Date
17-11-2019 3:40 PM
End Date
17-11-2019 4:00 PM
Recommended Citation
Riaz, N., Gilani, S. O., Shah, S. I., Udin, E., & Rehman, F. (2019). Technical Papers Session VI: Fault signal detection of linear actuators based on intelligent remnant filter. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2019/2019/47
COinS
Technical Papers Session VI: Fault signal detection of linear actuators based on intelligent remnant filter
Room C9 (Aman Tower, 3rd floor)
Linear servo electro-mechanical actuators are very commonly found in a variety of critical dynamic systems including various aerospace applications and hazardous robotic applications. These actuators are specifically designed on the basis of required operating functional parameters. The performance of servo electromechanical actuators significantly affects the performance of overall dynamic system. This paper works to improve the reliability of linear servo electromechanical actuators through analytical redundancy for critical applications. A fault diagnostic algorithm is designed based on dynamic mathematical model and a remnant filter is implemented to detect signal errors. The remnant filter generates residual signal proportional to the error induced. Fault detection thresholds are set and decision logic is established to compare residual signal with the lower and upper pre-defined threshold constants. This designed diagnostic filter is tested experimentally on a fault diagnostic testing setup and results of designed model have been validated.
