The life of a machine may be divided in two main periods: virtual - the time of designing the machine, and real - the time of production and exploitation. The quality of machine exploitation depends mainly on the form...
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The life of a machine may be divided in two main periods: virtual - the time of designing the machine, and real - the time of production and exploitation. The quality of machine exploitation depends mainly on the former. The quality of the designing system may be considered as a quality of a hybrid system of the designing team and equipment, and a computer with software. The quality of the production system is more conditional upon the quality of the machining and assembling stands and their equipment. The quality of control and management has a significant influence on the quality of production system activity. Last but not least, correct exploitation of a machine allows to obtain the required quality of activity. The aforementioned factors have different effects and are mutually interconnected. In all periods of the life of a machine, analysis is necessary to use adequate strategies to obtain a satisfactory final effect and exploitation quality.
Using measurements from inertial sensors such as gyroscopes and accelerometers and other, orientation of solids can be defined in space. To solve this task, one type of sensor is not enough, because there are certain ...
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Using measurements from inertial sensors such as gyroscopes and accelerometers and other, orientation of solids can be defined in space. To solve this task, one type of sensor is not enough, because there are certain dependencies between the individual measurements. Estimation of orientation must be used in navigation and autopilot systems in aircraft. It uses a unique combination of well known filters, transformation and advanced Kalman filter in order to determine the three Euler angles that define the orientation of the body in space.
A complete methodology to design robust Fault Detection and Isolation (FDI) filters and Fault Tolerant Control (FTC) schemes for Linear Time-Varying (LTV) systems is proposed. The paper takes advantage of the recent a...
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Research on wind turbine Operations & Maintenance (O&M) procedures is critical to the expansion of Wind Energy Conversion systems (WEC). In order to reduce O&M costs and increase the lifespan of the turbin...
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This paper presents tracking control of a compliant XY nano-positioner using a transfigured loop-shaping H∞ (TLSH) control strategy, which is capable of achieving satisfied positioning performance. The employed compl...
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This paper deals with the design process and the dynamic control simulation of a new type of 4-DOFs parallel mechanism that can be used as an endoscopie surgical manipulator. The proposed mechanism, 2-PUU 2PUS, is des...
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The proactive maintenance involves the advances warming of the failure possibility, that can bring the attention of maintenance personnel to impending danger, and realizing preventive and corrective operations. The pa...
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The proactive maintenance involves the advances warming of the failure possibility, that can bring the attention of maintenance personnel to impending danger, and realizing preventive and corrective operations. The paper describes the application type of HMI/ SCADA equipped with tools created using soft computing techniques applied to design the fuzzy predictive models of time between failures, and to aid decision-making process of user by collected in database heuristic maintenance strategy. The method of off-line and on-line learning predictive models was based on the genetic algorithm and recursive least squares algorithm. The application of supervisory system was tested on the laboratory stand equipped with the physical model of an overhead travelling crane.
In this study, the puppet master approach to solve the kinematics of complex multi-body systems is introduced. The puppet master approach is shown in comparison with traditional analytical one. The method is used to s...
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In this study, the puppet master approach to solve the kinematics of complex multi-body systems is introduced. The puppet master approach is shown in comparison with traditional analytical one. The method is used to solve multi-body systems of bio-inspired concept prototypes. In these examples the strong and weak sides of this approach are shown. The puppet master approach can be used to rapidly evaluate and compare different concept prototypes.
In this paper we describe how a humanoid robot can learn a representation of its own reachable space from motor experience: a Reachable Space Map. The map provides information about the reachability of a visually dete...
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ISBN:
(纸本)9781457711992
In this paper we describe how a humanoid robot can learn a representation of its own reachable space from motor experience: a Reachable Space Map. The map provides information about the reachability of a visually detected object (i.e. a 3D point in space). We propose a bio-inspired solution in which the map is built in a gaze-centered reference frame: the position of a point in space is encoded with the motor configuration of the robot head and eyes which allows the fixation of that point. We provide experimental results in which a simulated humanoid robot learns this map autonomously and we discuss how the map can be used for planning whole-body and bimanual reaching.
The influence of non-uniform magnetic field on the beam with magnetorheological fluid is used to build the vibration control algorithms. A special laboratory stand with appropriate electromagnet was built to test free...
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The influence of non-uniform magnetic field on the beam with magnetorheological fluid is used to build the vibration control algorithms. A special laboratory stand with appropriate electromagnet was built to test free and forced vibrations of the beam with and without control. Experiments were done to determine the stiffness and damping parameters of the beam for various currents flowing in electromagnet coils. A vibration control algorithm was proposed, based on the system identification data and using the averaging technique of nonlinear system analysis.
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