Modeling and enhancing the performance of AGV actuation system using real-time advanced control techniques | ||||
| International Conference on Aerospace Sciences and Aviation Technology | ||||
| Volume 20, Issue 20, March 2023, Page 1-10 PDF (1.15 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.1088/asat.2023.344380 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
M I Mohamed; E Safwat; M A Hassan; Y Z Elhalwagy 
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| Guidance Department, Military Technical College, Cairo, Egypt. | ||||
| Abstract | ||||
| In recent years, there has been a growing interest in Aerial Gliding Vehicles (AGVs) due to their versatile applications. The stability and maneuverability of AGVs depend on the control of their actuation systems, which necessitates an accurate model for controller design. However, some parameters of the system may be unknown, requiring the use of system identification techniques for parameter estimation. This study utilized the NI MYRIO1900 and LabVIEW platform to identify the parameters of the AGV actuation system by collecting input and output signals. The obtained model with estimated parameters was validated by comparing its response with the actual servo motor. Subsequently, two types of controllers were designed using the identified model: a traditional Proportional Integral Derivative (PID) controller and a Fuzzy PID (FPID) controller. Experimental results showed that the AGV under FPID control exhibited improved stability and accuracy, precise speed tracking, and reduced rise time, settling time, and overshoot compared to traditional PID control. The FPID controller was deployed on the embedded controller MY-RIO1900, and the real-time results were evaluated against the simulated results. The findings of this study provide evidence for the effectiveness of advanced control strategies such as FPID control in enhancing the performance of AGV actuation systems. | ||||
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