Race-track fluxgate sensor scaling versus noise

2021 ◽  
Author(s):  
Vojtech Petrucha ◽  
Mattia Butta
Keyword(s):  
Fluxgate Sensor ◽  
Race Track

scholarly journals Design of a Low-Cost Small-Size Fluxgate Sensor

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6598
Author(s):  
Xiaoyu Shen ◽  
Yuntian Teng ◽  
Xingxing Hu
Keyword(s):  
Low Cost ◽  
Amorphous Ribbon ◽  
Magnetic Core ◽  
Fluxgate Magnetometer ◽  
Fluxgate Sensor ◽  
Operational Tests ◽  
Race Track ◽  
New Race ◽  
Data Acquisition Module ◽  
Geomagnetic Observations

Traditional fluxgate sensors used in geomagnetic field observations are large, costly, power-consuming and often limited in their use. Although the size of the micro-fluxgate sensors has been significantly reduced, their performance, including indicators such as accuracy and signal-to-noise, does not meet observational requirements. To address these problems, a new race-track type probe is designed based on a magnetic core made of a Co-based amorphous ribbon. The size of this single-component probe is only Φ10 mm × 30 mm. The signal processing circuit is also optimized. The whole size of the sensor integrated with probes and data acquisition module is Φ70 mm × 100 mm. Compared with traditional fluxgate and micro-fluxgate sensors, the designed sensor is compact and provides excellent performance equal to traditional fluxgate sensors with good linearity and RMS noise of less than 0.1 nT. From operational tests, the results are in good agreement with those from a standard fluxgate magnetometer. Being more suitable for modern dense deployment of geomagnetic observations, this small-size fluxgate sensor offers promising research applications at lower costs.

scholarly journals Reduction of magnetic noise limits of orthogonal fluxgate sensor

AIP Advances ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 015347
Author(s):  
Michal Dressler ◽  
Michal Janosek ◽  
Mattia Butta
Keyword(s):  
Magnetic Noise ◽  
Fluxgate Sensor

Manet's Race-Track Paintings

1966 ◽  
Vol 48 (1) ◽  
pp. 78-82
Author(s):  
Jean C. Harris
Keyword(s):  
Race Track

scholarly journals Comparison of Typical Controllers for Direct Yaw Moment Control Applied on an Electric Race Car

Vehicles ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 127-144
Author(s):  
Andoni Medina ◽  
Guillermo Bistue ◽  
Angel Rubio
Keyword(s):  
Handling Performance ◽  
Electric Cars ◽  
Control Techniques ◽  
Race Car ◽  
Yaw Rate ◽  
Direct Yaw Moment Control ◽  
Yaw Moment Control ◽  
Moment Control ◽  
Race Track ◽  
Yaw Moment

Direct Yaw Moment Control (DYC) is an effective way to alter the behaviour of electric cars with independent drives. Controlling the torque applied to each wheel can improve the handling performance of a vehicle making it safer and faster on a race track. The state-of-the-art literature covers the comparison of various controllers (PID, LPV, LQR, SMC, etc.) using ISO manoeuvres. However, a more advanced comparison of the important characteristics of the controllers’ performance is lacking, such as the robustness of the controllers under changes in the vehicle model, steering behaviour, use of the friction circle, and, ultimately, lap time on a track. In this study, we have compared the controllers according to some of the aforementioned parameters on a modelled race car. Interestingly, best lap times are not provided by perfect neutral or close-to-neutral behaviour of the vehicle, but rather by allowing certain deviations from the target yaw rate. In addition, a modified Proportional Integral Derivative (PID) controller showed that its performance is comparable to other more complex control techniques such as Model Predictive Control (MPC).

The expression profile of genes involved in osteoclastogenesis detected in whole blood of Arabian horses during 3 years of competing at race track

2019 ◽  
Vol 123 ◽  
pp. 59-64 ◽  
Author(s):  
Monika Stefaniuk-Szmukier ◽  
Katarzyna Ropka-Molik ◽  
Katarzyna Piórkowska ◽  
Monika Bugno-Poniewierska
Keyword(s):  
Expression Profile ◽  
Whole Blood ◽  
Race Track

scholarly journals Model-Based Optimization of Velocity Strategy for Lightweight Electric Racing Cars

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Mirosław Targosz ◽  
Wojciech Skarka ◽  
Piotr Przystałka
Keyword(s):  
Numerical Model ◽  
Energy Efficient ◽  
Atmospheric Conditions ◽  
Vehicle Model ◽  
Model Based ◽  
Race Track ◽  
Functional Features ◽  
Race Conditions ◽  
Vehicle Dynamic Model ◽  
And Control

The article presents a method for optimizing driving strategies aimed at minimizing energy consumption while driving. The method was developed for the needs of an electric powered racing vehicle built for the purposes of the Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. Model-based optimization was used to determine the driving strategy. The numerical model was elaborated in Simulink environment, which includes both the electric vehicle model and the environment, i.e., the race track as well as the vehicle environment and the atmospheric conditions. The vehicle model itself includes vehicle dynamic model, numerical model describing issues concerning resistance of rolling tire, resistance of the propulsion system, aerodynamic phenomena, model of the electric motor, and control system. For the purpose of identifying design and functional features of individual subassemblies and components, numerical and stand tests were carried out. The model itself was tested on the research tracks to tune the model and determine the calculation parameters. The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. In the race conditions, the model was verified during SEM races in Rotterdam where the race vehicle scored the result consistent with the results of simulation calculations. In the following years, the experience gathered by the team gave us the vice Championship in the SEM 2016 in London.

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