welding seam recognition is key issue of intelligent welding. Aiming at such requirement, we provide a method to build a compact seam identification system, which is based on laser profile sensor. A cross slide driven...
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ISBN:
(数字)9798350361445
ISBN:
(纸本)9798350361452
welding seam recognition is key issue of intelligent welding. Aiming at such requirement, we provide a method to build a compact seam identification system, which is based on laser profile sensor. A cross slide driven by servo motors is employed to adjust accurate position of laser profile sensor, and corresponding X-Y movement is controlled by STM32F103. Seam recognition algorithm and procedure using least square fitting are developed by C++. Finally, we use the welding seam identification system to have done experimental detections. The test verification shows that recognition accuracy is less than 0.5 degree, which can meet requirements for robotic welding.
Since the accuracy of estimation is affected by the characteristics of the sensors and the operating environment, sensor fusion based on self localization using multiple sensor information has been proposed. In sensor...
Since the accuracy of estimation is affected by the characteristics of the sensors and the operating environment, sensor fusion based on self localization using multiple sensor information has been proposed. In sensor fusion, when a new sensor is used, the position and orientation information of that sensor needs to be specified. Normally, these parameters are known by prior measurement or other means, but to improve accuracy through sensor fusion, it is important to know these values as accurately as possible. However, sensor fusion with these parameters unknown has not been discussed so far. This paper aims to improve the accuracy of state estimation by performing sensor fusion while estimating unknown installation parameters. We also examines whether it is possible to evaluate the accuracy of parameter estimation in such cases. The position and orientation of the Time-of-Flight (ToF) sensors are chosen as parameters. The parameters are added as a estimation target as well as the drone's states, and the Extended Kalman filter (EKF) is used to estimate the expanded system which they are added. It is then verified whether the accuracy of the estimation can be assessed by analysing local observability using the Lie derivative and the degree of observability of the system using the condition number of the observability matrix. Simulations show that simultaneous estimation of the state and parameters by EKF is possible, and that the accuracy of the estimation is improved for arbitrary states. And as a result, the degree of observability using the number of conditions allows a quantitative assessment of the accuracy of state and parameter estimation.
The proceedings contain 180 papers. The topics discussed include: enhancing stochastic resonance by adaptive colored noise and particle swarm optimization: an application to steering control;gain-scheduled drive-based...
ISBN:
(纸本)9781665413084
The proceedings contain 180 papers. The topics discussed include: enhancing stochastic resonance by adaptive colored noise and particle swarm optimization: an application to steering control;gain-scheduled drive-based damping control for industrial robots;an integral design for high performance sensor-less collision detection of serial robots;physical intelligence in the metaverse: mixed reality scale models for twistronics and atomic force microscopy;learning and generalizing variable impedance manipulation skills from human demonstrations;robust contour visual servoing based on b-spline features with temporary occlusion;deep robust control of a mechatronic system with parametric uncertainties;bilateral teleoperation of a multi-robot formation with time-varying delays using adaptive impedance control;development of operation support system based on integration of haptic and image information for ultrasound probe manipulation;and a DOB-based parameter identification method for series elastic actuators without load-side encoder.
This paper designs an automatic controlsystem with PID controller and Kalman filter when the feedback sensor noise is particularly troublesome for a PID controller's derivative action. As a target plant, a ball &...
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Hand-free control of assistive mobility devices has been developed for severe physical movement disabilities. This paper proposes a human-machine interface ( HMI) using piezoelectric sensors to translate face movement...
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ISBN:
(数字)9786165904773
ISBN:
(纸本)9786165904773
Hand-free control of assistive mobility devices has been developed for severe physical movement disabilities. This paper proposes a human-machine interface ( HMI) using piezoelectric sensors to translate face movements for wheelchair control commands. Piezoelectric ceramic buzzer and thin film piezoelectric sensors were observed for facial muscle signal acquisition. We used time and frequency analysis to extract features of the signals during winking and tongue movements for simple classification. We also verified the proposed HMI for control commands of wheelchair steering. Using ceramic buzzer piezoelectric sensors with maximum peak and frequency mean features achieved more than 95% of the average classification accuracy. The proposed system can be used in a powered wheelchair for quadriplegic patients. We will further implement and verify in real-time control.
The quadcopter is a category of helicopter composed of four rotors. They are cheaper in cost parameter and thus possess lesser weight. The construction of a quadcopter is simpler when compared to drones. The quadcopte...
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ISBN:
(纸本)9798350300888
The quadcopter is a category of helicopter composed of four rotors. They are cheaper in cost parameter and thus possess lesser weight. The construction of a quadcopter is simpler when compared to drones. The quadcopter are used for surveillance purposes in the border areas due to the high quality image detection with higher precision techniques. They are highly used in the border areas due to the long battery life and works efficiently. To enhance safety of a country, dedicated protection system is much important and mandatory. The advancement in the technology helps in many ways for the safety and security done with higher accuracy and without complete manual support in each and every system. This system helps to monitor with automatic techniques with remote monitoring. The armed forces such as army, navy and military are highly recommended to enable the use of the advanced technology to promote higher safety with advance automation in the communication networks. The overall functioning is done through the wireless sensor network which helps to communicate from remote places through the wireless communication system. The quadcopter is a category of helicopter composed of four rotors. They are cheaper in cost parameter and thus possess lesser weight. The construction of a quadcopter is simpler when compared to drones. The quadcopter are used for surveillance purposes in the border areas due to the high quality image detection with higher precision techniques. They are highly used in the border areas due to the long battery life and works efficiently. To enhance safety of a country, dedicated protection system is much important and mandatory. The advancement in the technology helps in many ways for the safety and security done with higher accuracy and without complete manual support in each and every system. This system helps to monitor with automatic techniques with remote monitoring. The armed forces such as army, navy and military are highly recommended to enable
Considering sensor faults for microreactor system actuated by Peltier devices, this work proposes an operator-based robust nonlinear fault tolerant controller (FTC) integrated with early fault detection by Support Vec...
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ISBN:
(纸本)9781665417525
Considering sensor faults for microreactor system actuated by Peltier devices, this work proposes an operator-based robust nonlinear fault tolerant controller (FTC) integrated with early fault detection by Support Vector Machine (SVM). Firstly, a physical model is formulated based on the law of heat transfer and the estimated model is derived based on Volterra identification. Then, an operator-based robust nonlinear controlsystem is employed to compensate the uncertainties and eliminate the effects of coupling. Furthermore, FTC integrated with SVM-based early fault detection is designed to improve the safety performance in the case of sensor faults. The simulation results indicate that SVM-based fault detection can shorten the detection time by comparison on the conventional method without SVM classier, meanwhile the FTC can also obtain desired tracking performance.
With the increasing reliance on air conditioning systems for indoor comfort and climate control, innovative approaches are imperative to enhance efficiency, reduce costs, and extend equipment lifespan. This study pres...
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ISBN:
(数字)9798350350821
ISBN:
(纸本)9798350350838
With the increasing reliance on air conditioning systems for indoor comfort and climate control, innovative approaches are imperative to enhance efficiency, reduce costs, and extend equipment lifespan. This study presents a comprehensive investigation into a real-time air conditioning unit monitoring system integrated with advanced analytics for predictive maintenance. Using wireless sensor networks and different learning algorithms, the advancedsystem is capable of collecting real-time data, including temperature, vibration, voltage and current flow from air conditioning (AC) units. It addresses problems in monitoring and performing maintenance late or excessively early in AC units. In the study, a comprehensive look at different predictive analytical algorithms is carefully identified and evaluated. The result is a system with a graphical user interface for displaying current value parameters and predictive insights. By combining these technologies, maintenance is kept to a minimum, the life of the equipment is lengthened, and continuity is ensured. This feature will significantly lessen the delay and hassle in manual monitoring of AC units in FAITH Colleges and other schools and establishments where the system may be deemed applicable and necessary. The integration of real-time monitoring with predictive analytics sets a new benchmark for AC unit maintenance, pushing the frontier of smart home and industrial applications.
Organs-on-chips are a unique class of microfluidic in vitro cell culture models, in which the in vivo tissue microenvironment is mimicked. Unfortunately, their widespread use is hampered by their operation complexity ...
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Organs-on-chips are a unique class of microfluidic in vitro cell culture models, in which the in vivo tissue microenvironment is mimicked. Unfortunately, their widespread use is hampered by their operation complexity and incompatibility with end-user research settings. To address these issues, many commercial and non-commercial platforms have been developed for semi-automated culture of organs-on-chips. However, these organ-on-chip culture platforms each represent a closed ecosystem, with very little opportunity to interchange and integrate components from different platforms or to develop new ones. The translational organ-on-chip platform (TOP) is a multi-institutional effort to develop an open platform for automated organ-on-chip culture and integration of components from various developers. Central to TOP is the fluidic circuit board (FCB), a microfluidic plate with the form factor of a typical well plate. The FCB enables microfluidic control of multiple components like sensors or organ-on-chip devices through an interface based on openly available standards. Here, we report an FCB to integrate commercial and in-house developed components forming a stand-alone flow controlsystem for organs-on-chips. The controlsystem is able to achieve constant and pulsatile flow recirculation through a connected organ-on-chip device. We demonstrate that this system is able to automatically perfuse a heart-on-chip device containing co-cultures of cardiac tissues derived from human pluripotent stem cell-derived cardiomyocytes and monolayers of endothelial cells for five days. Altogether, we conclude that open technology platforms allow the integration of components from different sources to form functional and fit-for-purpose organ-on-chip systems. We anticipate that open platforms will play a central role in catalyzing and maturing further technological development of organ-on-chip culture systems.
It took PLC as the control center and Codesys software as the development platform to improve the the fire fighting robot’s obstacle avoidance performance. The ultrasonic sensors were used to detect the obstacles. Un...
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