The Field Oriented Controlled algorithm needs accurate estimation of motor state variables in order to ensure full torque and power performance. Good control results are strongly related to parameter values used by ob...
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ISBN:
(纸本)9781479943883
The Field Oriented Controlled algorithm needs accurate estimation of motor state variables in order to ensure full torque and power performance. Good control results are strongly related to parameter values used by observers or estimators' algorithms, which vary according to the machine working conditions and the temperature. The most important parameter is the rotor resistance. The paper shows and compares two different MRAS rotor resistance estimators, based on reactive power and motor torque, studied by means of a sensitivity analysis for different load and speed operating conditions. A nonlinear correction algorithm has been proposed in order to assure a good rotor resistance estimation convergence. Since the algorithm has to be implemented on an electrical vehicle inverter, it has been defined taking into account that it has to operate under dynamic conditions, the typical situation occurring during a drive cycle. Sensitivity analysis, simulation and experimental results are reported for the proposed methods.
This paper presents an adjustable algorithm for object tracking in a sequence of images. It is a method designed to be effective in applications where some of the information on the object tracked is known. To establi...
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This paper presents an adjustable algorithm for object tracking in a sequence of images. It is a method designed to be effective in applications where some of the information on the object tracked is known. To establish the object position and size in a frame, adaptive template matching, location prediction through known trajectory, border information in the image, and data acquired in previous frames are used. This algorithm behaves nicely with sequences of images where the tracked object size and features vary considerably. It is also robust to some levels of occlusion, and it can be adapted to simpler applications to compete in speed with a basic correlation algorithm.
Acoustic feedback suppression is a key task of digital hearing aid which commonly uses least mean square (LMS) or normalized LMS(NLMS) adaptive algorithm to cancel acoustic feedback signal, however the characteristic ...
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ISBN:
(纸本)9781479939039
Acoustic feedback suppression is a key task of digital hearing aid which commonly uses least mean square (LMS) or normalized LMS(NLMS) adaptive algorithm to cancel acoustic feedback signal, however the characteristic of acoustic feedback signal is not considered in these algorithms. In order to improve the listening recognition of hearing-impaired patients, this paper proposes a new variable step-size improved proportionate NLMS(IPNLMS) algorithm which bases on the sparseness of echo impulse. According to the nonlinear relationship between step size and error signal, this paper proposes a variable step-size IPNLMS adaptive algorithm which adds a step smooth process. The simulation results show that the proposed algorithm has more excellent performance for noise-canceling acoustic feedback of digital hearing aids, comparing with others variable step-size IPNLMS adaptive algorithms.
We have experimentally demonstrated a new smart grid model which can control DC electric power flow autonomously among individual homes, by using an optical self-organized node with optical non-linear characteristics,...
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ISBN:
(纸本)9780819499219
We have experimentally demonstrated a new smart grid model which can control DC electric power flow autonomously among individual homes, by using an optical self-organized node with optical non-linear characteristics, and these homes are assumed to be installed by distributed power supplies, and electric power storage devices, and also supposed to be supplied partly by the commercial electric power grid utilities. An electric power network is composed of nodes and devises called Power Gate Unit (PGU). The nodes have optical nonlinearity for self-organizing informations about surplus or shortage of electric power as to individual homes. The PGU is a distributing unit of actual electric power based on above informations of power surplus or shortage at each home. The PGU at each home is electrically connected to both the onsite power supplies and household load such as a solar panel, a DC motor, and a storage battery as well as the commercial electric power grid utilities. In this work, we composed our experimental self-organized DC power grid with above components and supposed the supplied maximum power from the commercial electric power grid utilities to be limited to 5V-0.5A. In this network, information about surplus or shortage of electric power will propagate through the nodes. In the experiments, surplus electric current 0.4A at a particular node was distributed toward a PGU of another node suffering from shortage of electric current. We also confirmed in the experiments and simulations that even when signal propagation path was disconnected accidentally the network could recover an optimized path. The present smart grid system we have attained may be applied by optical fiber link in the near future because our essential components controlling PGU, i.e. the nodes are electro-optical hybrid which are easily applicable to fiber optical link so as to control electric power transmission line.
Current controller is typically required in the torque ripple minimization control strategies for the switched reluctance motor (SRM). However, the conventional current controllers such as digital hysteresis controlle...
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ISBN:
(纸本)9781479942398
Current controller is typically required in the torque ripple minimization control strategies for the switched reluctance motor (SRM). However, the conventional current controllers such as digital hysteresis controller and fixed proportionalintegral (PI) controller have remarkable limitations. To improve the performances of the SRM, a novel current control strategy based on adaptive sliding mode control is proposed. The control force of the proposed control algorithm consists of two parts. The first part is the nominal control force, which is directly derived from the simple linear model, and the second part is obtained from the developed adaptive law, which is used to reject the lumped uncertainties. The proposed adaptive law avoids using a switching gain greater than the lumped uncertainties, thus alleviating the chattering problem. Moreover, since the design of the proposed control is based on Lyapunov theory, the stability of the controller is inherently guaranteed. The proposed current controller is compared to digital hysteresis control and fixed PI control under Matlab/Simulink environment. Simulation results demonstrate the effectiveness of the proposed control scheme.
With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the ne...
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ISBN:
(纸本)9781479926084
With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.
This article presents a navigation signals analyzer. The analyzer used to calibrate signal generators. Calibration data formed the adaptive algorithm. The algorithm is based on quasi-optimal unscented Kalman filter. T...
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ISBN:
(纸本)9781479920693
This article presents a navigation signals analyzer. The analyzer used to calibrate signal generators. Calibration data formed the adaptive algorithm. The algorithm is based on quasi-optimal unscented Kalman filter. The model of system contains two fixed terms. These terms describe the direct and reflected signals. The reflected signal arises because there is a mismatch of ports of the analyzer and generator. The parameters of terms are unknown. Special programmed signal imitator is also provided by the analyzer software. This imitator was used to model and investigate the designed signal analyzing algorithms. Calibration of the real global navigation satellite system (GNSS) simulators has been done.
Most of the traditional acoustic echo cancellation algorithms are based on an adaptive filter in time domain for estimating the echo path response. Other solutions to this problem using adaptive filter in frequency do...
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ISBN:
(纸本)9781479946471
Most of the traditional acoustic echo cancellation algorithms are based on an adaptive filter in time domain for estimating the echo path response. Other solutions to this problem using adaptive filter in frequency domain were proposed. Impressive performances were obtained in frequency domain compared with time domain, this is due to the flexibility and low computational complexity of frequency domain techniques. In this paper, an acoustic echo canceller using frequency domain adaptive filter is combined with spectral noise suppressor technique. Results indicated that the performances of the combined scheme yielded superiority in the performances than the traditional schemes.
Smartphones deploy multiple microphones to reduce background noise, reverberation and interferences. This paper presents the regulated Frost beamformer (REF) for acoustic gain enhancement and speech recognition improv...
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ISBN:
(纸本)9781479925810
Smartphones deploy multiple microphones to reduce background noise, reverberation and interferences. This paper presents the regulated Frost beamformer (REF) for acoustic gain enhancement and speech recognition improvement in smartphones. Conventional and adaptive beamformers were investigated with recourse to the acoustic transducer specifications of the Samsung Galaxy S2 device. The REF algorithm outperforms the time delay and Frost beamformers by over 5 dB and 2 dB respectively. Moreover, the minimum array gain is 5 dB (REF) as opposed to the floor gain of 2 dB. Compared with the delay-and-sum and Frost beamformers, the output waveform of the REF beamformer is the closest to the desired signal.
In the today's world, huge amount of online data is required for various analysis purposes. It is difficult to store, manage and retrieve such a massive data efficiently, especially when the data is continuously g...
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ISBN:
(纸本)9781479953646
In the today's world, huge amount of online data is required for various analysis purposes. It is difficult to store, manage and retrieve such a massive data efficiently, especially when the data is continuously getting appended during run-time. This generates the need to organize such a data in similar groups in a more dynamic fashion. Not being adaptive in nature, traditional algorithms like K-means fail to accommodate the newly arrived data during run-time, without re-initialization. In this approach, we have carried out clustering of streaming tweets using adaptive particle swarm optimization (APSO) algorithm. The algorithm is adaptive, because it can accommodate the streaming data effectively and efficiently, without having to go for re-initialization. Unlike previous approaches, we have initialized the particles, only at the commencement of the algorithm, in such a way that they are well-distributed and thus cover the complete problem space leading to the algorithm not getting stuck at the local optimum. We have also devised a mutation-like operation, which at the arrival of new tweets;re-initialize only a subset of the converged particles away from the convergence point. This accommodates the latest data effectively, again covering the complete problem space. With this approach, we have achieved a trade-off between the cluster quality and the execution time.
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