scholarly journals A Digital Pressure Sensor in Soaring Vehicles and Gliders

2017 ◽  
Vol 15 (4) ◽  
pp. 20-37
Author(s):  
A. Shamliev
Keyword(s):  
Pressure Sensors ◽  
Digital Signal ◽  
Software Implementation ◽  
Speed Estimation ◽  
Algorithm Performance ◽  
Software Optimization ◽  
Digital Pressure ◽  
System Solution ◽  
Vertical Speed ◽  
Aerial Vehicle

Abstract This paper describes a method for software optimization of digital sensor for vertical speed estimation applications. The system solution is based on Digital Signal Processing (DSP) algorithms discretized and adjusted for software implementation. Responsiveness, sensitivity and algorithm performance are considered. The presented method in this paper is tested in real flight conditions on an Unmanned Aerial Vehicle (UAV) and piloted paraglider. A two widely used digital pressure sensors, manufactured by two leading sensor producers, are used in the experiments.

The estimation algorithm of operative capabilities of complex countermeasures to resist UAVs

SIMULATION ◽  
2018 ◽  
Vol 95 (6) ◽  
pp. 569-573
Author(s):  
Igor Korobiichuk ◽  
Yuriy Danik ◽  
Oleksyj Samchyshyn ◽  
Sergiy Dupelich ◽  
Maciej Kachniarz
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Estimation Algorithm ◽  
Probability Of Detection ◽  
Software Implementation ◽  
Observation Model ◽  
Different Types ◽  
Aerial Vehicle ◽  
Use Efficiency ◽  
Time Required

The proposed observation model provides for calculating the probability of detection of different types of unmanned aerial vehicle (UAV) at a certain range with regard to their tactical and technical characteristics and security equipment capabilities. The comparison of the obtained values of generalized indicators of security equipment use efficiency is based on a specified criterion. To take into account factors that significantly affect a modeling object, calculations are carried out under specified conditions and restrictions. UAVs should be detected until a covering object gets in a swath width given the time required for countermeasures. Based on the software implementation of the algorithm we have evaluated the efficiency of use of hypothetical security equipment for detecting certain types of UAVs, and defined means of further use or improvement.

A Research on Engine Phase and Speed Estimation Method Based on Cylinder Pressure Sensor

2013 ◽  
Author(s):  
Jinli Wang ◽  
Fuyuan Yang ◽  
Minggao Ouyang ◽  
Ying Huang
Keyword(s):  
Pressure Sensor ◽  
Engine Speed ◽  
Combustion Engine ◽  
Pressure Sensors ◽  
Estimation Method ◽  
Speed Estimation ◽  
Cylinder Pressure ◽  
State Control ◽  
Experimental Proof ◽  
Crank Angle

Cylinder pressure based combustion state control is a direction that has drawn much attention in the field of internal combustion engine control, especially in the field of diesel HCCI (Homogeneous Charge Compression Ignition) research. In-cylinder pressure sensors have the potential to diagnose or even replace many traditional sensors, including camshaft and crankshaft sensors. This paper did research on engine synchronization method based on in-cylinder pressure signal. The research was based on a 4-cylinder high pressure common rail diesel engine equipped with 4 PSG (Pressure Sensor Glow Plug) type piezo-resistance cylinder pressure sensors, intended for HCCI research. Through theoretical analysis and experimental proof, methods and models for cylinder identification, engine phase estimation and engine speed estimation are given and further verified by experiments. Results show that cylinder pressure sensor could be used to identify cylinder instead of cam shaft sensor. The models for engine phase and speed estimation have been proved to have precision of 3° crank angle and 4.6rpm, respectively. The precision of engine phase and speed estimation provides a possibility for the engine to run if the crankshaft sensor fails, but more researches have to be carried out with respect to crankshaft sensor replacement.

scholarly journals Autonomous Unmanned Aerial Vehicle (UAV) landing in windy conditions with MAP-Elites

2017 ◽  
Vol 32 ◽  
Author(s):  
Sierra A. Adibi ◽  
Scott Forer ◽  
Jeremy Fries ◽  
Logan Yliniemi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Ground Level ◽  
Weather Conditions ◽  
High Wind ◽  
Aerial Vehicles ◽  
Dangerous Situation ◽  
Vertical Speed ◽  
Aerial Vehicle

AbstractWith the recent increase in the use of Unmanned Aerial Vehicles (UAVs) comes a surge of inexperienced aviators who may not have the requisite skills to react appropriately if weather conditions quickly change while their aircraft are in flight. This creates a dangerous situation, in which the pilot cannot safely land the vehicle. In this work we examine the use of the MAP-Elites algorithm to search for sets of weights for use in an artificial neural network. This neural network directly controls the thrust and pitching torque of a simulated 3-degree of freedom (2 linear, 1 rotational) fixed-wing UAV, with the goal of obtaining a smooth landing profile. We then examine the use of the same algorithm in high-wind conditions, with gusts up to 30 knots.Our results show that MAP-Elites is an effective method for searching for control policies, and by evolving two separate controllers and switching which controller is active when the UAV is near-ground level, we can produce a wider variety of phenotypic behaviors. The best controllers achieved landing at a vertical speed of <1 m s−1 and at an angle of approach of <1° degree.

Research of Permanent Magnet Synchronous Motor Speed Control System Based on DSP

2012 ◽  
Vol 468-471 ◽  
pp. 2891-2894 ◽  
Author(s):  
Hui Wang ◽  
Xue Ren Dong ◽  
Xiao Wei Yang ◽  
Feng Nan Liu
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Digital Signal Processor ◽  
Permanent Magnet Synchronous Motor ◽  
Digital Signal ◽  
Speed Control ◽  
Synchronous Motor ◽  
Motor Speed ◽  
System Solution ◽  
Speed Control System

For requirements Permanent magnet synchronous motor (PMSM) speeds control, the digital signal processor (DSP) is used for speed control system of PMSM. By using space vector pulse width modulation (SVPWM) algorithm, system performance is improved, and system costs are reduced. In this paper, the principle of SVPWM is analyzed, and its implementation is described. Through the analysis of permanent magnet synchronous motor in a different coordinate system in the mathematical model system solution is presented, software design for system is described. A DSP-based PMSM speed control system is build, the system is analyzed in MATLAB simulation. That proves the feasibility of the system.

scholarly journals High speed estimation of vocal area function using digital signal processor.

1990 ◽  
Vol 110 (7) ◽  
pp. 773-780
Author(s):  
Hiroyuki Kamata ◽  
Yoshihisa Ishida ◽  
Yasuo Ogawa
Keyword(s):  
Digital Signal Processor ◽  
High Speed ◽  
Digital Signal ◽  
Speed Estimation ◽  
Area Function ◽  
Signal Processor

Implementation of TD-LTE Downlink Channel Estimation Based on DSP

2013 ◽  
Vol 380-384 ◽  
pp. 3230-3234
Author(s):  
Dan Wang ◽  
Wen Wen Xu ◽  
Bei Chen
Keyword(s):  
Channel Estimation ◽  
Digital Signal Processor ◽  
Digital Signal ◽  
Superior Performance ◽  
Specific Reference ◽  
Generation Process ◽  
Algorithm Performance ◽  
Real Time Processing ◽  
Time Frequency ◽  
Protocol Development

The implementation based on DSP (Digital Signal Processor) plays an important role in the LTE protocol development. Firstly, this paper introduces the generation process and mapping location of time-frequency of cell-specific reference signals and chooses LS algorithm to carry on the channel estimation after weighed the DSP implementation complexity and algorithm performance. Secondly, describes the design and implementation of the channel estimation key modules in the perspective of memory allocation, operation cycles and competition accuracy. Finally, the performance analysis and BER results show that the proposed scheme can not only meet the requirements of real-time processing but also provide superior performance.

scholarly journals Determining the flow separation near a small UAV by unsteady pressure sensors

2021 ◽  
Vol 2057 (1) ◽  
pp. 012008
Author(s):  
P A Polivanov ◽  
A A Sidorenko
Keyword(s):  
Wind Tunnel ◽  
Flow Separation ◽  
Coherent Structures ◽  
Large Scale ◽  
Experimental Studies ◽  
Pressure Sensors ◽  
Separation Flow ◽  
Pressure Pulsations ◽  
Small Uav ◽  
Aerial Vehicle

Abstract Experimental studies of pressure pulsations on the surface of a small unmanned aerial vehicle (SUAV) are carried out in a wind tunnel. The onset of the separation flow is determined on the basis of PIV and loads measurements. It is found that an increase of pressure pulsations does not always correspond to flow separation. The paper proposes to use correlation analysis to determine the flow separation by finding large-scale coherent structures generated by the separation.

scholarly journals Optimization for Software Implementation of Fractional Calculus Numerical Methods in an Embedded System

Entropy ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. 566
Author(s):  
Mariusz Matusiak
Keyword(s):  
Embedded System ◽  
Fractional Order ◽  
Numerical Algorithms ◽  
Computation Time ◽  
Optimization Methods ◽  
Optimization Techniques ◽  
Software Implementation ◽  
Software Optimization ◽  
Fractional Order Differential Equations ◽  
Non Locality

In this article, some practical software optimization methods for implementations of fractional order backward difference, sum, and differintegral operator based on Grünwald–Letnikov definition are presented. These numerical algorithms are of great interest in the context of the evaluation of fractional-order differential equations in embedded systems, due to their more convenient form compared to Caputo and Riemann–Liouville definitions or Laplace transforms, based on the discrete convolution operation. A well-known difficulty relates to the non-locality of the operator, implying continually increasing numbers of processed samples, which may reach the limits of available memory or lead to exceeding the desired computation time. In the study presented here, several promising software optimization techniques were analyzed and tested in the evaluation of the variable fractional-order backward difference and derivative on two different Arm® Cortex®-M architectures. Reductions in computation times of up to 75% and 87% were achieved compared to the initial implementation, depending on the type of Arm® core.

scholarly journals Bio-Inspired Neural Adaptive Control of a Small Unmanned Aerial Vehicle Based on Airflow Sensors

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3233 ◽  
Author(s):  
Zijun Ren ◽  
Wenxing Fu ◽  
Supeng Zhu ◽  
Binbin Yan ◽  
Jie Yan
Keyword(s):  
Neural Network ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
External Disturbance ◽  
Back Propagation ◽  
Pressure Sensors ◽  
Leading Edge ◽  
Back Propagation Neural Network ◽  
Lyapunov Theory ◽  
Aerial Vehicle

Inspired by the exceptional flight ability of birds and insects, a bio-inspired neural adaptive flight control structure of a small unmanned aerial vehicle was presented. Eight pressure sensors were elaborately installed in the leading-edge area of the forward wing. A back propagation neural network was trained to predict the aerodynamic moment based on pressure measurements. The network model was trained, validated, and tested. An adaptive controller was designed based on a radial basis function neural network. The new adaptive laws guaranteed the boundedness of the adaptive parameters. The closed-loop stability was analyzed via Lyapunov theory. The simulation results demonstrated the robustness of the bio-inspired flight control system when subjected to measurement noise, parametric uncertainties, and external disturbance.

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