In this paper, the electromagnetic suspension system is modeled as a neural-based linear T-S fuzzy system, and then the optimal fuzzy control design scheme is proposed to control the current and voltage-controlled sys...
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Online coordination of visual information with slow speed manipulator control is studied in the specific task of three dimensional robotic catching using position based visual servoing. The problem involves the design...
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ISBN:
(纸本)9781424448081
Online coordination of visual information with slow speed manipulator control is studied in the specific task of three dimensional robotic catching using position based visual servoing. The problem involves the design and application of a recursive algorithm to extract and predict the position of an object in a 3D environment from one feature correspondence from a monocular image sequence. The measured data are the noisy image plane coordinates of object match taken from image in the sequence. Image plane noise levels are allowed and investigated. The target trajectory estimation is formulated as a tracking problem, which can use an arbitrary large number of images in a sequence and is done using Recursive Least Squares (RLS). The feasibility of our methods for catching are demonstrated by both simulations and experiments using a a real-time vision system and a six-degree-of-freedom robotic arm with speed capabilities of up to 1.0 m/s.
This paper deals with control of human-machine cooperative systems considering maneuverability for their human operators. At first, the general structure and the parameterization of the controlled systems axe outlined...
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ISBN:
(纸本)0780378660
This paper deals with control of human-machine cooperative systems considering maneuverability for their human operators. At first, the general structure and the parameterization of the controlled systems axe outlined. Second, it is experimentally verified that self-shaping characteristics of a human operator exists in a human-machine cooperative system similarly in manual control systems and that the characteristics can be used for specifying desirable frequency characteristics of the maneuver transfer function, a transfer function from operational force to motion of object at the operational point. Then, a control design procedure that specifies two closed-loop transfer functions of the controlled system independently is proposed. On the procedure, the maneuver transfer function is specified suitably corresponding to the self-shaping characteristics, and the transfer function of object dynamics variation is also specified considering recognition of the variation. Finally, experiments on human-machine cooperative task to trace a boundary of object dynamics variation are carried out, and the validity of the proposed design procedure is confirmed.
The potential of flexible-manufacturing workcells (FMCs) to produce a family of parts in many possible orders of operations and choices of different machines is advantageous. Despite intensive research on the theoreti...
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In this paper, a variant for the pH control of the residual water from a foundry is presented. The blunting process of the residual water, being a distributed parameters one, is modeled using equations with partial de...
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Parametric identification consists in estimating the values of physical parameters of robotic systems. The most popular methods consist in using the least squares regression because of their simplicity. However, we kn...
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ISBN:
(纸本)9781424407897
Parametric identification consists in estimating the values of physical parameters of robotic systems. The most popular methods consist in using the least squares regression because of their simplicity. However, we know that these techniques are not intrinsically robust. An alternative consists in justifying the use of the LS technique. This paper focuses on this issue and introduces a derivation of the CESTAC method which will be applied to a 6 degrees of freedom (DOF) serial robot.
This paper presents a sliding mode observer based fuzzy control. The sliding mode observer is developed for a linear dominant system, but taking into account the model mismatch. After that a fuzzy state feedback contr...
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In this paper a study on rendering of environmental force feedback in mobile robot teleoperation based on fuzzy logic is presented. To ensure safety of mobile robot teleoperation it is often necessary to provide envir...
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ISBN:
(纸本)9781424448081
In this paper a study on rendering of environmental force feedback in mobile robot teleoperation based on fuzzy logic is presented. To ensure safety of mobile robot teleoperation it is often necessary to provide environmental force feedback which is related to the distance between the obstacles and the mobile robot. In previous approaches force feedback was rendered based on the measured distance between the obstacles and the mobile robot. In this work, a novel method for force feedback rendering using fuzzy logic is presented. In proposed approach derivative of the distance to the obstacle is used for defining the amount of environmental force feedback which is displayed to human-operator. Fuzzy rules and controller are designed and simulation results are shown. Advantages of the proposed approach are discussed.
This paper deals with the design and the simulation of decentralized artificial intelligent systems (multiagent systems) in the context of distributed automation and decentralized control systems. It presents an origi...
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This paper deals with the design and the simulation of decentralized artificial intelligent systems (multiagent systems) in the context of distributed automation and decentralized control systems. It presents an original tool and its interesting modular and customizable physical model of a house.
In view of the relatively backward situation of automation information technology in manufacturing enterprises, this paper analyzes the manufacturing process of industry, designs and constructs a HD_MAS (Hierarchical ...
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ISBN:
(纸本)9781538685273
In view of the relatively backward situation of automation information technology in manufacturing enterprises, this paper analyzes the manufacturing process of industry, designs and constructs a HD_MAS (Hierarchical Distributed Multi-Agent Systems(MAS)) architecture for collaborative control of process industry process so as to achieve collaborative control optimization for the whole manufacturing process. Based on MAS technology, this paper constructs a collaborative control model for manufacturing system that integrates multiple production units. This model combines several intelligent modules and physical entities organically. Based on the cooperation between Multi-agents, the improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) algorithm is proposed. A new algorithm framework called DS_MADDPG (Distributed Multi-Agent Deep Deterministic Policy Gradient) is applied to this model. Through the cooperation of Multi-agents, a certain intelligent control system is formed so that it can accurately complete complex production tasks and achieve distributed collaborative control of the manufacturing process, which will drive manufacturing companies to transform into the smart manufacturing.
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