Exact Analysis of a Linear Velocity Sensor

2020 ◽  
pp. 1-1
Author(s):  
Toshiya Itaya ◽  
Koichi Ishida ◽  
Akio Tanaka ◽  
Nobuo Takehira
Keyword(s):  
Linear Velocity ◽  
Velocity Sensor ◽  
Exact Analysis

3D Scan Matching using Linear Velocity Estimation for Forest Road Localization

2020 ◽  
Vol 140 (9) ◽  
pp. 1082-1090
Author(s):  
Hiroyuki Nakagomi ◽  
Yoshihiro Fuse ◽  
Yasuki Nagata ◽  
Hironaga Miyamoto ◽  
Masashi Yokotsuka ◽  
...  
Keyword(s):  
Linear Velocity ◽  
Velocity Estimation ◽  
Scan Matching ◽  
Forest Road ◽  
3D Scan

On the convective diffusion under partial slip at wall

1989 ◽  
Vol 54 (4) ◽  
pp. 967-980 ◽  
Author(s):  
Ondřej Wein ◽  
Petr Kučera
Keyword(s):  
Mass Transfer ◽  
Numerical Solution ◽  
Analytic Solution ◽  
Convective Diffusion ◽  
Linear Velocity ◽  
Partial Slip ◽  
Accurate Calculation ◽  
Transfer Coefficients ◽  
Empirical Formulas ◽  
Mass Transfer Coefficients

Extended Leveque problem is studied for linear velocity profiles, vx(z) = u + qz. The existing analytic solution is reconsidered and shown to be inapplicable for the accurate calculation of mean mass-transfer coefficients. A numerical solution is reported and its accuracy is checked in detail. Simple but fairly accurate empirical formulas are suggested for the calculating of local and mean mass-transfer coefficients.

Exact Analysis of Some Split-Merge Queues

2015 ◽  
Vol 43 (2) ◽  
pp. 51-53 ◽  
Author(s):  
Pierre M. Fiorini ◽  
Lester Lipsky
Keyword(s):  
Exact Analysis

scholarly journals Effect of Coated Cow Dung on Fluidization Reduction of Fine Iron Ore particles

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1175
Author(s):  
Qiyan Xu ◽  
Zhanghan Gu ◽  
Ziwei Wan ◽  
Mingzhu Huangfu ◽  
Qingmin Meng ◽  
...  
Keyword(s):  
Iron Ore ◽  
Linear Velocity ◽  
Operating Conditions ◽  
Inhibition Mechanism ◽  
Cow Dung ◽  
Reduction Temperature ◽  
Reduction Time ◽  
Reducing Gas ◽  
Fine Iron ◽  
Ironmaking Process

The effects of reduction temperature, gas linear velocity, reduction pressure, reduction time, and reducing gas on the fluidized ironmaking process were studied for the fine iron Newman ore particles (0.154–0.178 mm) and the optimal experimental operating conditions were obtained. Under the optimal conditions, the effects of the coated cow dung on the reduction of fine iron ore particles were studied, and the inhibition mechanism of cow dung on particle adhesion in the fluidized ironmaking process was elucidated. The experimental results show that the optimal operating parameters are linear velocity of 0.6 m/s, reduction pressure of 0.2 MPa, reduction temperature of 1023 K, H2 as the reducing gas, and reduction time of 60 min. Cow dung can react with oxide in the ore powder to form a high melting point substance that can form a certain isolation layer, inhibit the growth of iron whiskers, and improve the fluidization.

scholarly journals Super-Twisting Algorithm Applied to Velocity Control of DC Motor without Mechanical Sensors Dependence

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6041
Author(s):  
Fredy A. Valenzuela ◽  
Reymundo Ramírez ◽  
Fermín Martínez ◽  
Onofre A. Morfín ◽  
Carlos E. Castañeda
Keyword(s):  
Controller Design ◽  
Sliding Mode ◽  
Dc Motor ◽  
Experimental Results ◽  
Resistive Load ◽  
Velocity Control ◽  
Velocity Sensor ◽  
Control Scheme ◽  
Mechanical Sensors ◽  
Twisting Algorithm

A DC motor velocity control in feedback systems usually requires a velocity sensor, which increases the controller cost. Additionally, the velocity sensor used in industrial applications presents several disadvantages such as maintenance requirements and signal conditioning. In this work, we propose a robust velocity control scheme applied to a DC motor based on estimation strategies using a sliding-mode observer. This means that measurements with mechanical sensors are not required in the controller design. The proposed observer estimates the rotational velocity and load torque of the motor. The controller design applies the exact-linearization technique combined with the super-twisting algorithm to achieve robust performance in the closed-loop system. The controller validation was carried out by experimental tests using a workbench, which is composed of a control and data acquisition Digital Signal Proccessor board, a DC-DC electronic converter, an interface board for signals conditioning, and a DC electric generator connected to an adjustable resistive load. The simulation and experimental results show a significant performance of the proposed control scheme. During tests, the accuracy, robustness, and speed response on the controller were evaluated and the experimental results were compared with a classic proportional-integral controller, which uses a conventional encoder.

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