Hardware in the loop based 6DoF test platform for multi-rotor UAV

Author(s):  
Hongyu Wang ◽  
Djamaleddine Azaizia ◽  
Cunyue Lu ◽  
Baomin Zhang ◽  
Xun Zhao ◽  
...  
Author(s):  
John Parker ◽  
Christopher Poston ◽  
Richard Roser ◽  
Joel Anstrom ◽  
Timothy Cleary ◽  
...  

This technical paper provides instruction by example on how to apply hardware-in-the-loop (HIL) simulation for accelerated development of a complex control algorithm. The instruction provided in this technical paper is directed to HIL test bench setup, software, simulated and real hardware, and test methods. As an example, the authors reference their collaborative development project of the last couple of years, now completed. The objective of that project was to develop a demand-driven hydrogen production system and integrate it with a hydrogen-fueled internal combustion engine-powered vehicle test platform. The instruction provided in this technical paper is supported by data from the referenced project example.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1947
Author(s):  
Diogo de Oliveira Costa ◽  
Neusa Maria Franco Oliveira ◽  
Roberto d’Amore

This article analyzes the use of Remotely Piloted Aircrafts (RPA) in VOR (Very High Frequency Omnidirectional Range) flight inspection. Initially, tests were performed to check whether the Autopilot Positioning System (APS) met the regulatory requirements. The results of these tests indicated that the APS provided information within the standard regulations. A Hardware in the Loop (HIL) platform was implemented to perform flight tests following the waypoints generated by a mission automation routine. One test was performed without introducing disturbance into the proposed test platform. The other four tests were performed introducing errors in latitude and longitude in the APS into the platform. The errors introduced had the same characteristics as those measured in the initial tests, in order for the simulation tests to be as similar as possible to the real situation. The tests performed with positioning errors only did not lead to false misalignment detection. However, introducing positioning errors and a 4° VOR misalignment error, a misalignment of 3.99° was observed during the flight test. This is a value greater than the maximum one allowed by the regulations, and the system indicates the VOR misalignment. Five flight inspection tests were performed. In addition to the APS errors, tests with a modulation error were also conducted. Introducing a 4° VOR misalignment in conjunction with modulation error, a misalignment of 4.02° was observed, resulting in successful misalignment detection.


2018 ◽  
Vol 51 (4) ◽  
pp. 119-124 ◽  
Author(s):  
Muhsin Hancer ◽  
Rahman Bitirgen ◽  
Ismail Bayezit

2015 ◽  
Vol 19 (1) ◽  
pp. 21
Author(s):  
Evgenije M. Adžić ◽  
Vlado B. Porobić ◽  
Marko S. Vekić ◽  
Zoran R. Ivanović ◽  
Vladimir A. Katić

This paper proposes an improved and robustinduction motor drive control method which uses minimalnumber of sensors, providing only dc-link current measurementas a feedback signal. The proposed dc-link current samplingscheme and modified asymmetrical PWM pattern cancelcharacteristic waveform errors which exist in all threereconstructed line currents. In that way, proposed method issuitable for high-quality and high-performance drives.Comparison between conventional and proposed currentreconstruction method is performed using hardware-in-the-loop(HIL) test platform and digital signal processor (DSP).


Author(s):  
Dawei Pi ◽  
Xianhui Wang ◽  
Hongliang Wang ◽  
Zhenxing Kong

In this paper, a hierarchical control logic for two-channel hydraulic active roll control (ARC) system, which includes vehicle level control and actuator level control is proposed. Vehicle level control consists of antiroll torque controller and antiroll torque distributor. The antiroll torque controller is designed with “PID + feedforward” algorithm to calculate the total antiroll moment. The antiroll torque distributor is devised based on fuzzy control method to implement an antiroll moment allocation between the front and rear stabilizer bar. Actuator level control is designed based on pressure and displacement, respectively. The contrastive analysis of the two proposed actuator control method is presented. The hardware-in-the-loop (HIL) test platform is proposed to evaluate the performance of the devised control algorithm. The HIL simulation result illustrates that actuator displacement control could generate a relatively accurate antiroll moment, and the vehicle roll stability, yaw stability can be enhanced by the proposed ARC control method.


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