Energy conservation is a current requirement in industry. This paper discusses an energy-optimal planning of a servo system, which is driven by a DC motor and a reduction gear. controllable energy loss, such as Joule ...
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This paper proposes a neural model for hysteresis. A method of continuous transformation is used to construct an elementary hysteresis model (EHM), which implements a one-to-one mapping between the input space and the...
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The extraction of fetal electrocardiogram (FECG) from the composite maternal ECG signal is discussed. This problem can be modelled from the perspective of blind source extraction. Using the objective function presente...
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Aiming at the uncertainty of sonar data in the problem of sonar-based target differentiation for mobile robot, the paper firstly presents a hierarchical reduction approach to reduce a sonar data set based on rough set...
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At present, logic controllers use sequential programmable logic controllers (PLC) and industrial computers with scan strategies and special instructions for parallel events detection. Also, nowadays, reconfigurable de...
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At present, logic controllers use sequential programmable logic controllers (PLC) and industrial computers with scan strategies and special instructions for parallel events detection. Also, nowadays, reconfigurable devices improvement allows the implementation of parallel control strategies in a more natural way. This paper describes an integrated system for logic controller implementation using FPGA. It consists of a hardware card and a design automation environment which improves design performance. The hardware, as well as doing typical automation tasks, contributes to achieving additional characteristics such as simulation and monitoring. To show the integrated system applications, a real industrial project is undertaken
The vibration generated by industrial machines always contains nonlinear and nonstationary signals. It is expected that a desired time-frequency analysis method should have good computation efficiency, and have good r...
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The vibration generated by industrial machines always contains nonlinear and nonstationary signals. It is expected that a desired time-frequency analysis method should have good computation efficiency, and have good resolution in both time domain and frequency domain. In this paper, the adaptive Gaussian chirplet distribution for an integrated time-frequency signature extraction of the machine vibration is presented. The adaptive Gaussian chirplet spectrogram is nonnegative, has a high time-frequency resolution, and is free of cross term interference, so it offers the advantage of good localization of the vibration signal energy in the time-frequency domain. Experimental results show that the proposed method is very effective
Most mechanical faults in machinery reveal themselves through transient events in vibration signals. That is, the vibration generated by industrial machines always contains nonlinear and non-stationary signals. Many a...
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Most mechanical faults in machinery reveal themselves through transient events in vibration signals. That is, the vibration generated by industrial machines always contains nonlinear and non-stationary signals. Many analysis methods in current use are optimal for Gaussian and linear models but are suboptimal when the problem is one of analysing non-stationary, non-linear and non-Gaussian signals. Focusing on the defects of different joint time-frequency representations, the analysis of transient vibration signals is considered using Wigner higher-order based time-frequency distributions in this paper. The Wigner higher-order moment spectra (WHOS), which are the extensions of the Wigner-Ville distribution (WVD) to higher-order moment spectra domains, can describe the higher-order moment spectral characteristics from the time domain and the frequency domain simultaneously. The simulation case show that this technique has high time-frequency resolution and reduced interference terms
In this work, we present implementation and experiment of the theory of dynamic force sensing for robotic manipulators. In the robot manipulation context, end-effector contact forces may be difficult to measure due to...
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In this work, we present implementation and experiment of the theory of dynamic force sensing for robotic manipulators. In the robot manipulation context, end-effector contact forces may be difficult to measure due to tool interference, yet indirect measurement such as from wrist-mounted force sensors provide force measurement contaminated by inertial forces of the tool distal to the force sensor. In order to extract the contact force exerted by the robot, it is necessary to separate the contact forces from inertial forces. We propose a complete formulation and implementation of a new control strategy based on multi-sensor fusion with three different sensors - that is, encoders mounted at each joint of the robot with six degrees of freedom, a wrist force sensor and accelerometers - whose goal is to obtain a suitable contact force estimator. These new observers contribute to overcome many of the difficulties of uncertain world models and unknown environments, which limit the domain of application of contemporary robots used without external sensory feedback; in addition, the final observer can be applied to any kind of real robot system. An impedance control scheme was proposed to verify the improvement. The experiments were carried out on an industrial Staubli RX60 manipulator with open controlsystem architecture
Modular current source converters (MCSC) can enhance the current capacity and improve the power quality at medium voltage PWM motor drives. A MCSC uses individual three-phase modules in a shunt connection to share the...
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Modular current source converters (MCSC) can enhance the current capacity and improve the power quality at medium voltage PWM motor drives. A MCSC uses individual three-phase modules in a shunt connection to share the total power in a symmetrical manner. The modulation of these units is normally done using optimized patterns as selective harmonic elimination (SHE). However, the optimization is usually performed at each module. This paper proposes a modulating technique that optimizes the operation of a MCSC built up of P modules. Thus, for the same switching frequency, P times the number of harmonics are removed from the injected ac current as compared to the regular approach. A complete mathematical formulation as well as experimental results validate the theoretical considerations
The model of a three-phase current source rectifier (CSR) is a complex mathematical representation as it is nonlinear, multi-variable, and coupled. In order to work with a simplified but still accurate model, a repres...
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The model of a three-phase current source rectifier (CSR) is a complex mathematical representation as it is nonlinear, multi-variable, and coupled. In order to work with a simplified but still accurate model, a representation in a rotating reference frame dq0 in combination with an average model are normally used. The result is a model that operates with ripple free inputs, outputs, and state variables that should be the accurate average value of the actual variables. However, the average model of these topologies could lead to errors if damping resistors are used. A case study shows as much as 10% error in the DC link current between the actual value and the predicted by the average model. This paper finds and shows systematically the source of the error and proposes a method for the accurate average modeling of CSRs with damping resistors. Simulated results show the validity of the theoretical considerations
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