This paper proposes an asymmetrical pulse width modulation (APWM) with frequency tracking control of full bridge series resonant inverter for induction heating application. In this method, APWM is used as power regula...
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ISBN:
(纸本)9789948427155
This paper proposes an asymmetrical pulse width modulation (APWM) with frequency tracking control of full bridge series resonant inverter for induction heating application. In this method, APWM is used as power regulation, and phased locked loop (PLL) is used to attain zero-voltage-switching (ZVS) over a wide load range. The complete closed loop control model is obtained using small signal analysis. The validity of the proposed control is verified by simulation results.
This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and l...
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This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and l...
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This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and learning of basic concepts on multivariable control is a key factor in control engineering education. In this sense, the interactive tool presented in this paper is aimed to introduce basic ideas on multivariable control systems mainly focused on interaction and pairing concepts.
This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generat...
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ISBN:
(纸本)9781424420575
This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generation, visual tracking, and internet information retrieval. The general architecture is first described in the paper. Then, the learning capacity of Arisen is addressed. It learns and performs associations between different stimulus responses through several dynamic neural networks, guided by motivational drives. A number of experiments are discussed, covering stimulus competition, habituation, classical and operant conditioning.
This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generat...
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ISBN:
(纸本)9781424420575
This paper describes the motivation and learning subsystems of Arisco which is a mechatronic head with interactive capacity which includes high expressivity through gesturing, voice recognition, text to speech generation, visual tracking, and internet information retrieval. The general architecture is first described in the paper. Then, the learning capacity of Arisco is addressed. It learns and performs associations between different stimulus responses through several dynamic neural networks, guided by motivational drives. A number of experiments are discussed, covering stimulus competition, habituation, classical and operant conditioning.
Recent work has shown that switching on-line between controllers using different rates might be beneficial, for example to cope with scheduling or network-induced jitter. In this paper we extend this approach to achie...
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Teleoperation solves several difficulties that current robots can not overcome. The intervention of a human operator in deciding the strategies required to perform some given tasks allows robots to carry out operation...
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Teleoperation solves several difficulties that current robots can not overcome. The intervention of a human operator in deciding the strategies required to perform some given tasks allows robots to carry out operations in dangerous environments or in areas inaccessible to humans. Despite such task becomes feasible, it is necessary to use methods that assist the operator in its manipulation. This paper describes a method for assisting teleoperation, which is based on the dynamic variation of the scale of the working space to improve the movement precision near the point of interest.
Teleoperation makes possible the execution of many tasks, that otherwise are not feasible when a human operator can not access to the working area due to dangerousness or environmental conditions, and it is not possib...
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Teleoperation makes possible the execution of many tasks, that otherwise are not feasible when a human operator can not access to the working area due to dangerousness or environmental conditions, and it is not possible as well, to program the task so as to be performed autonomously, due to its complexity. Nevertheless, manipulation tasks require certain ability from the human operator due to the difficulties that produce the need to operate through control devices that does not fit with the structure of the slave arms. With the aim of increasing the precision capabilities provided by such control interfaces, a vision based procedure designed to deform the space around the working point has been developed. The vision system operates from the detection of the relevant scene elements. This space deformation produces automatically a progressive increase in precision when the robot arm approaches the relevant detected elements.
Robot manipulation through teleoperation requires some ability from a human operator. This requirement is stronger when the tridimensional scene is observed through a 2D monitor. This paper describes a telemanipulatio...
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Teleoperation in harsh environments has to tackle the problem of working with images of poor quality, as the visual feedback means for the human operator. This paper describes a procedure for image augmentation, based...
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Teleoperation in harsh environments has to tackle the problem of working with images of poor quality, as the visual feedback means for the human operator. This paper describes a procedure for image augmentation, based on the models of the scene elements, which are built from the images acquired in a previous phase, before the execution of the task, when the visual environment conditions are still good enough.
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