A typical servicing operation in space mainly includes three phases: capturing the target, berthing and docking the target, and repairing the target. The attitude of a satellite usually changes after the capturing, be...
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An adaptive fuzzy PID controller is proposed to solve the problem that long time delay systems are difficult to be controlled. The controller is obtained by combining the fuzzy controller with PID controller in series...
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ISBN:
(纸本)0819464538
An adaptive fuzzy PID controller is proposed to solve the problem that long time delay systems are difficult to be controlled. The controller is obtained by combining the fuzzy controller with PID controller in series, namely the output of the fuzzy controller is as the input of PID, and the control parameters of PID change nonlinearly with the system error's change. Meanwhile, the output scaling gain Ku of the fuzzy controller can be adaptively regulated. Two regulation methods are presented: one is that the linear function between Ku and the system's error is built up based on the system's dynamical characteristics;the other is that Ku is automatically regulated with the fuzzy inference whose two inputs are the comprehensive performance index and its change, the output is the increment of Ku. In the paper, we combine the controlled system with PID controller as an integrated system, and then build up its discrete state space model in the condition that the system's output delays. Based on these, the system's stability is analyzed with Lyapunov Direct Method. Simulation test results show the method provides good control performances to long time delay systems.
This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery cha...
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This paper presents the development of an intelligent genetic algorithm (GA) technique for training of a generalized regression neural network (GRNN) controller to achieve a compact network and to decrease battery charging time on a cost-effective RISC microcontroller. The suitable input-output data were selected from GA mechanism to establish GRNN. The computational complexity of GRNN can be reduced replaced by some simple polynomial forms. As a consequence, the fast charging device for Nickel-Cadmium (Ni-Cd) batteries can be efficiently implemented on a low-cost 16F876A RISC microcontroller. Experimental results are shown to demonstrate superiority of the proposed system.
Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions a...
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Artificial music composition is one of the ever rising problems of computer science. Genetic Algorithm has been one of the most useful means in our hands to solve optimization problems. By use of precise assumptions and adequate fitness function it is possible to change the music composing into an optimization problem. This paper proposes a new genetic algorithm for composing music. Considering entropy of the notes distribution as a factor of fitness function and developing mutation and crossover functions based on harmonic rules and trying to keep the melodies intact during these processes would result in a musical piece pleasant to human ears and interesting for human mind. This algorithm does not have the constraints of the previous algorithms. Restraining mutation and crossover functions with a goal of producing melodies based on acceptable melodies composed by humans, this algorithm is not bound to any genre, instrument or melody. The experimental results of this approach show that it is near to the human composing and the results produced from it are more acceptable than the ones produced by its predecessors.
In this paper, we propose a cost-effective and low-power 64-point fast Fourier transform (FFT)/inverse FFT (IFFT) architecture and chip adopting the retrenched 8-point FFT/IFFT (R8-FFT) unit and an efficient data-swap...
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We demonstrate a stable Sagnac quantum key distribution implementing BB84 phase-encoding protocol based on acousto-optic frequency shifters. The quantum bit error rate remains 4-6.5% for at least one hour without reca...
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Computation of temperature field of turbine rotor is a two-dimension axisymmetric problem. A two-dimension computing model of rotor temperature field is obtained by the analysis and simplification of rotor geometry st...
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The modeling of domains is today a technique with growing acceptance into the software community. Domain models allow the information to be represented in the computer at higher abstraction levels than in the usual ap...
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Cutting mechanism of drilling CFRP laminates and effects of ultrasonic torsional mode vibration cutting were investigated. CFRP laminates are made of carbon fiber reinforced/epoxy-resin matrix composite plies. Challen...
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ISBN:
(纸本)0872638480
Cutting mechanism of drilling CFRP laminates and effects of ultrasonic torsional mode vibration cutting were investigated. CFRP laminates are made of carbon fiber reinforced/epoxy-resin matrix composite plies. Challenges in drilling CFRP laminates arise because of anisotropy due to carbon fiber orientation. Experimental works were performed to characterize major hole quality parameters and cutting characteristics encountered when conventional drilling CFRP laminates. Shallow craters of about 50-70μm dept. were found at the particular position of inner surface in drilled hole and the reason of the growth of crater was investigated based on cutting mechanism of anisotropic composite material. In order to improve hole quality and tool life the specific drilling assisted by ultrasonic torsional mode vibration of 27 kHz was examined. The ultrasonic torsional mode vibration cutting was significantly effective to restrain the generation of the crater and also to elongate tool life about five times in drilling CFRP laminates.
A MIMO (multi-input multi-output) radar system, unlike a standard phased-array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of int...
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ISBN:
(纸本)1424407850
A MIMO (multi-input multi-output) radar system, unlike a standard phased-array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross-correlation of the signals reflected back to the radar by the targets of interest. In this paper, we show how the above desirable features can be achieved by designing the covariance matrix of the probing signal vector transmitted by the radar. Moreover, in a numerical study, we show that the proper choice of the probing signals can significantly improve the performance of adaptive MIMO radar techniques. Additionally, we demonstrate the advantages of several MIMO transmit beampattern designs, including a beampattern matching design and a minimum sidelobe beampattern design, over their phased-array counterparts.
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