Humanitarian demining: sensor design and signal processing aspects

2002 ◽  
pp. 39-56 ◽  
Author(s):  
M. Acheroy ◽  
P. Verlinde
Keyword(s):  
Signal Processing ◽  
Sensor Design ◽  
Humanitarian Demining

scholarly journals Three-Axis Inductive Displacement Sensor Using Phase-Sensitive Digital Signal Processing for Industrial Magnetic Bearing Applications

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 115
Author(s):  
Teemu Sillanpää ◽  
Alexander Smirnov ◽  
Pekko Jaatinen ◽  
Jouni Vuojolainen ◽  
Niko Nevaranta ◽  
...  
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Eddy Current ◽  
High Speed ◽  
Digital Signal ◽  
Magnetic Bearing ◽  
Air Gap ◽  
Sensor Design ◽  
Quadrature Demodulation ◽  
Displacement Sensors

Non-contact rotor position sensors are an essential part of control systems in magnetically suspended high-speed drives. In typical active magnetic bearing (AMB) levitated high-speed machine applications, the displacement of the rotor in the mechanical air gap is measured with commercially available eddy current-based displacement sensors. The aim of this paper is to propose a robust and compact three-dimensional position sensor that can measure the rotor displacement of an AMB system in both the radial and axial directions. The paper presents a sensor design utilizing only a single unified sensor stator and a single shared rotor mounted target piece surface to achieve the measurement of all three measurement axes. The sensor uses an inductive measuring principle to sense the air gap between the sensor stator and rotor piece, which makes it robust to surface variations of the sensing target. Combined with the sensor design, a state of the art fully digital signal processing chain utilizing synchronous in-phase and quadrature demodulation is presented. The feasibility of the proposed sensor design is verified in a closed-loop control application utilizing a 350-kW, 15,000-r/min high-speed industrial induction machine with magnetic bearing suspension. The inductive sensor provides an alternative solution to commercial eddy current displacement sensors. It meets the application requirements and has a robust construction utilizing conventional electrical steel lamination stacks and copper winding.

Sensor design and signal processing for an advanced sonar ring

Robotica ◽  
2005 ◽  
Vol 24 (4) ◽  
pp. 433-446 ◽  
Author(s):  
Saeid Fazli ◽  
Lindsay Kleeman
Keyword(s):  
Experimental Data ◽  
Signal Processing ◽  
Incidence Angle ◽  
Digital Signal ◽  
Indoor Environments ◽  
Sensor Design ◽  
Interference Rejection ◽  
Angle Measurements ◽  
Multiple Receivers ◽  
Sample Rate

A conventional sonar ring measures the range to objects based on the first echo and is widely used in indoor mobile robots. In contrast, advanced sonar sensing can produce accurate range and bearing (incidence angle) measurements to multiple targets using multiple receivers and multiple echoes per each receiver at the expense of intensive computation. This paper presents an advanced sonar ring that employs a low receiver sample rate to achieve processing of 48 receiver channels at near real time repetition rates of 11.5 Hz. The sonar ring sensing covers 360 degrees around the robot for specular targets for ranges up to six metres, with simultaneously firing of all its 24 transmitters. Digital Signal Processing (DSP) techniques and interference rejection ideas are applied in this sensor to produce a fast and accurate sonar ring. Seven custom designed DSP boards process the receivers sampled at 250 kHz to maximize the speed of processing and to limit memory requirements. This paper presents the new sensor design, the hardware structure, the software architecture, and signal processing of the advanced sonar ring. Repeatability and accuracy of the measurements are tested to characterize the proposed sensor. Due to the low sample rate of 250 kHz, a problem called cycle hopping can occur. The paper presents a solution to cycle hopping and a new transmit coding based on pulse duration to differentiate neighbouring transmitters in the ring. Experimental data show the effectiveness of the designed sensor in indoor environments.

Smart Sensor Design for Power Signal Processing

2015 ◽  
pp. 387-393
Author(s):  
Francisco-Javier Ferrández-Pastor ◽  
Higinio Mora-Mora ◽  
Jose-Luis Sanchez-Romero ◽  
Mario Nieto-Hidalgo
Keyword(s):  
Signal Processing ◽  
Sensor Design ◽  
Smart Sensor

scholarly journals A High Precision Position Sensor Design and Its Signal Processing Algorithm for a Maglev Train

Sensors ◽  
2012 ◽  
Vol 12 (5) ◽  
pp. 5225-5245 ◽  
Author(s):  
Song Xue ◽  
Zhiqiang Long ◽  
Ning He ◽  
Wensen Chang
Keyword(s):  
Signal Processing ◽  
High Precision ◽  
Processing Algorithm ◽  
Sensor Design ◽  
Position Sensor ◽  
Maglev Train ◽  
Signal Processing Algorithm

Sparse Image and Signal Processing

2009 ◽  
Author(s):  
Jean-Luc Starck ◽  
Fionn Murtagh ◽  
Jalal Fadili
Keyword(s):  
Signal Processing
Sign in / Sign up

Export Citation Format

Share Document