We demonstrate a sensing platform for composite manufacturing (RTM-6) process based on silicon photonics, being controlled by novel Process Monitoring Optimization control (PMOC) system. The photonic multi-sensor is b...
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ISBN:
(纸本)9781510659537;9781510659544
We demonstrate a sensing platform for composite manufacturing (RTM-6) process based on silicon photonics, being controlled by novel Process Monitoring Optimization control (PMOC) system. The photonic multi-sensor is based on bragg grating components, allowing measurements of temperature, pressure and refractive index, and is packaged employing a ball lens fiber-to-chip interface. We present results of the packaged temperature photonic sensor regarding bandwidth, linearity and thermo-optic efficiency, being controlled by our PMOC system. We experimentally achieve 0.074 nm/C with R<^>2 = 0.995 linearity for temperature up to 180 degrees C (RTM-6 compatible) with 1 kHz data acquisition and 0.2 degrees C accuracy.
This paper presents the development and implementation of an innovative electric wheelchair which is controlled using Tongue Drive system (TDS) utilizing magnetic Hall Effect sensors. Traditional wheelchair control me...
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This research introduces a comprehensive health and security system integrating advanced technologies for enhanced surveillance and monitoring. Leveraging a Raspberry Pi 3B+, OpenCV, and MLX90614 sensor, the project s...
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In this paper, the work's goal is to analyze as well as conceive a sensor fault-tolerant fuzzy T-S controller, based on the feedback of reconstructed states, via the Takagi-Sugeno (T-S) fuzzy model which is influe...
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ISBN:
(纸本)9781665427357
In this paper, the work's goal is to analyze as well as conceive a sensor fault-tolerant fuzzy T-S controller, based on the feedback of reconstructed states, via the Takagi-Sugeno (T-S) fuzzy model which is influenced by the sensor faults. The control strategy proposed in this work aims at stabilizing the closed loop system, although sensor faults exist, as well as compensating their effects. For this, a multiobserver is designed so as to estimate, at the same time, the system states and the sensor faults. For the design of the sensor fault-tolerant fuzzy T-S controller, we base the analysis and the stability study on the Lyapunov quadratic function and the Linear Matrix Inequalities (LMIs) formulation. Furthermore, the performance optimization technique aims to reduce the derivation impacts of sensor faults on the system states and estimation errors. The multiobserver and the fuzzy T-S controller gains are simultaneously determined by the resolution of the LMI conditions. Finally, the control approach proposed in this work is applied in simulation to a real example which is a manipulator arm operated by a DC motor, so as to show the suggested control technique efficiency.
Infusion therapy plays a crucial role in delivering medications and fluids to patients, but it often requires close monitoring and manual intervention by healthcare providers. The InfuCare system addresses these chall...
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In this paper, robot movement control using force sensor is proposed for cooperative work between remote robot systems with force feedback. A user of each system operates a remote robot which has a force sensor by man...
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ISBN:
(数字)9781665470506
ISBN:
(纸本)9781665470506
In this paper, robot movement control using force sensor is proposed for cooperative work between remote robot systems with force feedback. A user of each system operates a remote robot which has a force sensor by manipulating a haptic interface device while monitoring the work of the robot. The proposed control automatically moves a robot arm according to force gotten by the force sensor in cooperative work where we carry an object between two systems when a network environment of one system is not good. By experiment, we demonstrate superiority of the control to conventional control.
This paper proposes a current sensor fault tolerant (CSFTC) control of the five-leg inverter (FLI) that drives the two induction motors independently. The simulation test validation is carried out when all current sen...
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In this paper, we present the Smart Rain Barrel Network (SRBN), a novel solution that combines sensor technology with the Blynk Internet of Things (IoT) platform to help reduce surface runoff due to heavy rainfalls th...
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In-sensor computing has emerged as a promising approach to mitigating huge data transmission costs between sensors and processing units. Recently, the emerging application scenarios have raised more demands of sensory...
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In the present world, wireless sensor network-enabled network controlsystem is performing a significant role in science, technology, and our day-to-day life. The Network controlsystem in wireless sensor network has ...
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