The Development of a Hardware-in-the-Loop Simulation System for Unmanned Aerial Vehicle Autopilot Design Using LabVIEW

Sun, Yun-Ping

doi:10.5772/23272

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…HIL simulation provides an effective technique for designing and testing of real-time and embedded control systems [20][21][22][23][24][25]. HIL testing is used to lower total costs, shorten development cycles, and improve functional performance of real-time and embedded control systems.…”

Section: Hil Testing Facilitymentioning

confidence: 99%

“…This in effect reduces the latency of data transfers to negligible levels and allows for high-speed sampling rates and high capacity payload transfers of multiple simulation signals simultaneously between the ARM7 microcontroller and the computer. HIL testing has been employed in various domains, such as the aerospace industry [21], automotive applications [23], power electronics and control [24], and marine applications [25]. As discussed, the real-time HIL test-bed introduced in [20] has been employed in this paper.…”

Section: Hil Testing Facilitymentioning

confidence: 99%

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A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications

Short

Abugchem

2017

Electronics

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Model predictive control (MPC) schemes employ dynamic models of a process within a receding horizon framework to optimize the behavior of a process. Although MPC has many benefits, a significant drawback is the large computational burden, especially in adaptive and constrained situations. In this paper, a computationally efficient self-tuning/adaptive MPC scheme for a simple industrial process plant with rate and amplitude constraints on the plant input is developed. The scheme has been optimized for real-time implementation on small, low-cost embedded processors. It employs a short (2-step) control horizon with an adjustable prediction horizon, automatically tunes the move suppression (regularization) parameter to achieve well-conditioned control, and presents a new technique for generating the reference trajectory that is robust to changes in the process time delay and in the presence of any inverse response. In addition, the need for a full quadratic programming procedure to handle input constraints is avoided by employing a quasi-analytical solution that optimally fathoms the constraints. Preliminary hardware-in-the-loop (HIL) test results indicate that the resulting scheme performs well and has low implementation overhead.

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Section: Hil Testing Facilitymentioning

confidence: 99%

Section: Hil Testing Facilitymentioning

confidence: 99%

A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications

Short

Abugchem

2017

Electronics

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“…The engineers can efficiently revise the design of portal type systems by using the results of HILS. HILS is a perfect test method for the study of huge experimental data, for example the control systems for aircrafts [24,25]. In this study, a hole/crack in a square plate with layered laminate carbon composites is identified by using the strains measured from the inner boundary sensors.…”

Section: Introductionmentioning

confidence: 99%

Hardware-In-The-Loop Simulations of Hole/Crack Identification in a Composite Plate

Liang

Sun

2020

Materials

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The technology of hardware-in-the-loop simulations (HILS) plays an important role in the design of complex systems, for example, the structural health monitoring (SHM) of aircrafts. Due to the high performance of personal computers, HILS can provide practical solutions to many problems in engineering and sciences, especially in the huge systems, giant dams for civil engineering, and aircraft system. This study addresses the HILS in hole/crack identification in composite laminates. The multiple loading modes method is used for hole/crack identification. The signals of strains measured from the data-acquisition (DAQ) devices are accomplished by the graphical software LabVIEW. The results represent the actual responses of multiple loading mode tests of real specimens. A personal computer is employed to execute the identification work according to the strain data from DAQ devices by using a nonlinear optimization approach. When all the criteria are satisfied, the final identification results will be obtained. HILS will achieve real time identification of hole/crack in the composite plate by using the actual response measured from the sensors. Not only the size, but also the location and orientation of the crack/hole in a composite plate are successfully identified herein.

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“…Carrijo et al [3] applied HILS to test the on-board computer on a satellite launcher vehicle for motion and attitude control. Sun [4] used an embedded real-time controller to be the prototype autopilot and test the performance of proportional-integral-derivative (PID) controllers in HILS system including a servo unit.…”

Section: Introductionmentioning

confidence: 99%

Pitch Attitude Control Design of Unmanned Aerial Vehicle via Hardware-in-the-Loop Simulation

Sun

Liang

2013

AMM

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This paper describes an investigative hardware-in-the-loop simulation (HILS) effort through virtual instrumentation on longitudinal control of an unmanned aerial vehicle (UAV). The proportional-integral-differential (PID) controller and fuzzy logic controller (FLC) are designed for the pitch angle hold mode of autopilot; moreover, they are implemented by an embedded real-time control system as a prototype autopilot and tested by hardware-in-the-loop simulation. The hardware configuration of HILS is composed of a personal computer, an embedded real-time control system, several data acquisition devices, servo and sensor unit. The real-time control and data acquisition tasks in HILS is carried out by virtual instruments that is developed by graphical programming language LabVIEW. HILS provides a platform for researchers to correct and improve their design efficiently. The closed-loop performance between PID controller and FLC is evaluated in HILS. The results demonstrate that in the presence of unmodelled dynamics and nonlinear saturation the FLC has an excellent robust performance.

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The Development of a Hardware-in-the-Loop Simulation System for Unmanned Aerial Vehicle Autopilot Design Using LabVIEW

Cited by 4 publications

References 12 publications

A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications

A Microcontroller-Based Adaptive Model Predictive Control Platform for Process Control Applications

Hardware-In-The-Loop Simulations of Hole/Crack Identification in a Composite Plate

Pitch Attitude Control Design of Unmanned Aerial Vehicle via Hardware-in-the-Loop Simulation

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