Paper
31 December 2008 Using virtual instruments to develop an actuator-based hardware-in-the-loop simulation test-bed for autopilot of unmanned aerial vehicle
Yun-Ping Sun, Jiun-Yan Ju, Yen-Chu Liang
Author Affiliations +
Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71301J (2008) https://doi.org/10.1117/12.819593
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China
Abstract
Since the unmanned aerial vehicles (UAVs) bring forth many innovative applications in scientific, civilian, and military fields, the development of UAVs is rapidly growing every year. The on-board autopilot that reliably performs attitude and guidance control is a vital part for out-of-sight flights. However, the control law in autopilot is designed according to a simplified plant model in which the dynamics of real hardware are usually not taken into consideration. It is a necessity to develop a test-bed including real servos to make real-time control experiments for prototype autopilots, so called hardware-in-the-loop (HIL) simulation. In this paper on the basis of the graphical application software LabVIEW, the real-time HIL simulation system is realized efficiently by the virtual instrumentation approach. The proportional-integral-derivative (PID) controller in autopilot for the pitch angle control loop is experimentally determined by the classical Ziegler-Nichols tuning rule and exhibits good transient and steady-state response in real-time HIL simulation. From the results the differences between numerical simulation and real-time HIL simulation are also clearly presented. The effectiveness of HIL simulation for UAV autopilot design is definitely confirmed
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yun-Ping Sun, Jiun-Yan Ju, and Yen-Chu Liang "Using virtual instruments to develop an actuator-based hardware-in-the-loop simulation test-bed for autopilot of unmanned aerial vehicle", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71301J (31 December 2008); https://doi.org/10.1117/12.819593
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KEYWORDS
Computer simulations

Unmanned aerial vehicles

Device simulation

Actuators

Data acquisition

Prototyping

Virtual reality

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