This study presents an apparatus for detecting Ultra Wide-Band (UWB) impulse radio (IR) signals using circuit with a normal ultra-high-speed integrated comparator, which having nonlinear dynamics characteristics with ...
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With the application of nonlinear loads and impulse loads, base-wave Watt meters can not be applied to the power systems with these loads. For example, in 2006, ChangSha power company, HuNan, China, imported many base...
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With the application of nonlinear loads and impulse loads, base-wave Watt meters can not be applied to the power systems with these loads. For example, in 2006, ChangSha power company, HuNan, China, imported many base-wave Watt meters to measure the active power consumed by large factories. A mass measured results by these meters have shown that almost 30% of the electric energy consumed were not recorded by the meters. Clearly, the cost is huge. Based on this point, we analyze the shortcoming of the base-wave Watt meter first. Then a novel active power measuring method which can solve this problem very well is presented. Finally, the simulation results verify the effectiveness of the method and show that the method has a very good referential value and practical value for raising the level of the existing electric energy measurement.
Slide mode variable structure control method is used for designing a digital controller of BLDC electric actuator in this paper. Firstly, the mathematic model of electric actuator is built according to the selected BL...
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Slide mode variable structure control method is used for designing a digital controller of BLDC electric actuator in this paper. Firstly, the mathematic model of electric actuator is built according to the selected BLDC motor. Secondly, two slide mode algorithms, proportion switching algorithm and velocity trending law algorithm, are designed for the electric actuation system. Thirdly, we design a DSP digital controller using the sliding mode variable structure control algorithms. Fourthly, the system simulation and experiment are carried out. Based on results, we get the rule about the influence on the system performance by selecting different parameters. Experiments are made in the sequence and could well validate the results of simulation. Finally, we discuss the characteristics of the two algorithms, and summarize the method to design a slide mode variable structure controller for BLDC electric actuator.
Two image sensors simulate directly the way of disposing images with the humanpsilas two eyes, so it has important value to apply to many domains, such as object identify, UAV detection, robot navigation, and so on. T...
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Two image sensors simulate directly the way of disposing images with the humanpsilas two eyes, so it has important value to apply to many domains, such as object identify, UAV detection, robot navigation, and so on. This paper focus on the object localization and distance detection based on two image sensors. It concentrates on how to apply two CCD image sensors to object localization of a sphere in complex environments. A space model of the two image sensors was set up, then an experiment platform was built in order to prove the correctness and feasibility of that localization algorithm, and the relationship between the coordinate localization accuracy and the sensor structural parameters was analyzed.
作者:
Yuefei WangJianghong HanQingxin HuSchool of Computer and Information
School of Mechanical and Automobile Engineering Engineering Research Center of Measurement and Control in Safety Critical Industry Ministry of Education Hefei University of Technology Hefei Anhui China School of Computer and Information
Engineering Research Center of Measurement and Control in Safety Critical Industry Ministry of Education Hefei University of Technology Hefei Anhui China
In terms of the design of SCDCS (Safety Critical Distributed control System), MATI (Maximum Allowable Transfer Interval) is one of the important design reference parameters that influences message transmission period ...
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ISBN:
(纸本)9781424425020
In terms of the design of SCDCS (Safety Critical Distributed control System), MATI (Maximum Allowable Transfer Interval) is one of the important design reference parameters that influences message transmission period and network scheduling strategy. To obtain its upper bound, Lyapunov theory and matrix measure are applied to analyze SCDCS which is networked only in its feedback path, and a sufficient condition is induced which can guarantee that the SCDCS is asymptotically stable. Furthermore, an explicit and simple method of obtaining MATI for SCDCS is derived on the base of that stable condition. The simulation validates the method and shows that the method is much less conservative than the existing methods.
In this paper, the application of spectral factorization by using Grobner basis approach to the problem of 2-D finite support QMF filter bank design is proposed along with illustrative example. Earlier, it has been sh...
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In this paper, the application of spectral factorization by using Grobner basis approach to the problem of 2-D finite support QMF filter bank design is proposed along with illustrative example. Earlier, it has been shown that the Grobner basis can be applied to solve the problem of 2-D factorization and its effectiveness in dealing with polynomial equation system are demonstrated. Despite the fact that there exist many good techniques for designing one dimensional QMF synthesis and analysis filter banks, the two-dimensional counterpart has a major bottleneck due to the generalization of 2-D spectral factorization. The proposed algorithm is the direct generalization of the 1-D QMF filter bank design by spectral factorization. Furthermore, the filter coefficients can be computed in symbolic forms and thus provide a good opportunity for further optimization if additional criteria are given.
We investigate the scalability of networked estimation under contention-based medium access. In our set-up, the state of a number of identical first-order linear plants are measured and transmitted over a shared mediu...
We investigate the scalability of networked estimation under contention-based medium access. In our set-up, the state of a number of identical first-order linear plants are measured and transmitted over a shared medium. Each sensor transmits its readings to a supervisor node that maintains a continuous-time state estimate for the associated plant. When the medium access delay exceeds the sampling interval, measurements are discarded and replaced by more recent ones. Our analysis of the shared channel determines the probability of packet loss as a function of the sampling interval and the number of contending nodes. We compute the estimation distortion with periodically generated samples as a function of the packet loss rate and sampling interval, and derive a condition for stable estimator performance. We investigate the scalability limits of this stability as a function of the number of nodes. When stable estimation is possible, we provide a procedure that computes the sampling rate that minimizes the average estimation distortion. We reproduce the analysis of estimation performance when the sensors sample asynchronously according to independent Poisson counters.
This paper addresses the problem of estimating the odor path which is most likely taken by the odor patch detected by the concentration sensor on a mobile robot moving in an indoor dynamic airflow environment. The odo...
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This paper addresses the problem of estimating the odor path which is most likely taken by the odor patch detected by the concentration sensor on a mobile robot moving in an indoor dynamic airflow environment. The odor path estimation is useful for plume tracing and odor source declaration. A novel algorithm for odor path likelihood mapping in the dynamic airflow environment is proposed. The algorithm has a low computation cost by importing the idea of dynamic window approach. Experiments are carried out on the mobile robot in which odor concentration sensor, airflow sensor, encoder and compass are equipped. To extract useable concentration information from the odor sensor, a practicable data preprocessing method is put forward. The experiment results in the indoor dynamic airflow environment show that the odor path can be well estimated online.
Utilizing the ability simple in application and quick in convergence of quantum delta-potential-well-based particle swarm optimization (QDPSO) algorithm and the high generalization ability of support vector machine (S...
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Utilizing the ability simple in application and quick in convergence of quantum delta-potential-well-based particle swarm optimization (QDPSO) algorithm and the high generalization ability of support vector machine (SVM), selecting the appropriate state variables, a dynamic time-varying model has been built. Using the model and algorithm to per-estimate some biochemical state variables which can not be measured on-line, and to optimise some operational variables. It is proved that the method is efficiency through the practical application of penicillin fermentation process.
In the measuring process, some even several sensors expire, but other non-expiration sensor can't affect to provide the information independently. The system can depend on the information by non-expiration sensor ...
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In the measuring process, some even several sensors expire, but other non-expiration sensor can't affect to provide the information independently. The system can depend on the information by non-expiration sensor providing to get accurate observed value. The paper analyzes the metrical data based on sensor management, and selects a group of sensors according to qualification, and data of the limited measurement by the group multi-sensors were state fusion estimated. The obtaining measurement results are more accurate than arithmetic mean value algorithm. At last eliminates the disturbance and the uncertainty in the sensor survey, and obtains is more accurate, the more reliable measurement result..
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