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Jiang Y.,CAS Changchun Institute of Optics and Fine Mechanics and Physics | Jiang Y.,University of Chinese Academy of Sciences | Sun Q.,CAS Changchun Institute of Optics and Fine Mechanics and Physics | Liu Y.,CAS Changchun Institute of Optics and Fine Mechanics and Physics | Zhao L.-X.,Shenyang Academy of Instrumentation Science
Guangzi Xuebao/Acta Photonica Sinica | Year: 2013

In order to stabilize the optical performance influenced by the temperature changes, an optical seeker with conformal dome on the basis of the passive optical athermallization method is discussed. Reasonable materials are chosen correctly according to athermal equations. The hybrid refractive-diffractive configuration is introduced for the design of athermal optical system design.Ellipsoidal conformal dome could optimize the aerodynamic performance and reduce the heating of the missile dome.missile dome heating. Inverted telephoto triplet is helpful to acquire short focal length and wide FOV. It is shown that an optical system with ±90° unvignetted FOR, F/2, 100% cold stop efficiency was present. A back focal length of 22.8 mm is large enough for the cooled detector, and also MTF are higher than 0.4 at the spatial frequency of 15 lp/mm across the entire field with the working wavelength at 3~5 μm. The specifications can satisfy the requirements of precise seeker, which can ensure the compact design of the system.


Li J.,Shenyang Jianzhu University | Qu R.,Shenyang Jianzhu University | Li Y.,Shenyang Academy of Instrumentation Science
Advances in Intelligent and Soft Computing | Year: 2012

Aiming at the characteristics which variable air volume air conditioning system is multi-variable, nonlinear and uncertain, we put forward a recursive wavelet neural network predictive control strategy. Through recursive wavelet neural network predictor on line established controlled object's mathematical model, and using RBF neural network controller on line corrected information we get, thus to improve control effect. The simulation results show that recursive wavelet neural network predictive control has stronger robustness and adaptive ability, high control precision, better and reliable control effect and other advantages. © 2012 Springer-Verlag GmbH.


Li J.,Shenyang Jianzhu University | Lie J.,Shenyang Jianzhu University | Qu R.,Shenyang Jianzhu University | Li Y.,Shenyang Academy of Instrumentation Science
Advanced Materials Research | Year: 2012

Aluminum electrolysis is a nonlinear, multi-couplings, time-variable and large time-delay industrial process system. The paper puts forward the fault diagnoisis method of improved wavelet Elman neural network, which firstly simplifies the input of network with the method of principal component analysis, secondly, the weights, as well as scale factor and shift factor of the wavelet function are optimized by use of the wavelet Elman network which is optimized by improved particle swarm algorithm. Then it is verified by the simulation. The simulation results show that the method can precisely forecast the aluminium electrolysis equipment faults and improve the production and quality of aluminum. © (2012) Trans Tech Publications.


Liu J.,Northeastern University China | Liu J.,Shenyang Academy of Instrumentation Science | Wu Z.,Northeastern University China | Li Y.,Northeastern University China | Lu D.,NEUNN Technology Co.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA) | Year: 2015

Pipeline transportation is the main way of crude oil and product oil transportation, pipeline leak detection and positioning in time is very important to safe operation of the pipeline. The currently existing leak detection methods based on negative pressure wave are consider the interference existing in steady oil transportation state as random disturbance, which cause the difficult to detect tiny leak. But the existing studies have proved that when the oil transportation is steady, the pipeline the pressure shows the chaotic characteristics. In this paper, according to the chaotic characteristic in oil pipeline transportation, we design a oil pipeline leak detection methods, in which the algorithm adopts the combination of median and wavelet filter method, anomaly detection based on RBF neural network and fuzzy min-max classification method. At last we give the structure of pipeline leak detection system, in which the proposed leak detection method is the key method. © 2014 IEEE.


Yan M.,Shenyang Academy of Instrumentation Science
Advanced Materials Research | Year: 2013

Mainly introduce the work principle of Dicing Saw and the different kinds of errors in assembly, analyze all errors which influence LCD glass; draw the picture according to the measuring data, from the picture estimate the errors how to come from and prove that the judgments is true through calculating the rigidity of liner bearing; find the source of the main error, appoint out how to take measures for the errors and what is the key point in the assemble. This errors analysis method of the applied mechanics play an important role in other Dicing Saw assemble and test. © (2013) Trans Tech Publications, Switzerland.


Ma Y.,Shenyang Academy of Instrumentation Science
Journal of Advanced Manufacturing Systems | Year: 2012

Mechanical analysis is performed on the diamond blade in the dicing saw, and the tangential and radial stresses are presented. The maximum tangential stress and the critical rotating speed to the destructive moment of the grinding wheel are determined. With the finite element analysis software ANSYS, the model of grinding wheel diamond blade is studied and the equivalent stress nephogram with different speeds is presented. The simulation results demonstrate that the tangential stress is larger than the radial stress and that the maximum tangential stress happens on the inner surface. Moreover, the movement trend of curve of the maximum tangential stress nearly corresponds to the theoretical curve. © 2012 World Scientific Publishing Company.


Tang C.-Y.,North University of China | Zhao G.-Y.,North University of China | Zhang Y.-M.,North University of China | Ma Y.,Shenyang Academy of Instrumentation Science
Research Journal of Applied Sciences, Engineering and Technology | Year: 2012

In this study, a fuzzy logic control design is represented for the control of an active suspension system. A seven degrees of freedom non linear full vehicle model is established, instead of two degrees of freedom one quarter model and four degrees of freedom half body model and the road roughness intensity is modeled as a white noise stochastic process. Then a fuzzy logic controller is designed for the control of the seven degrees of freedom full vehicle model, the input variables are the suspension displacement and the output variables are the control force. The time responses of the full vehicle model are obtained, not only the vertical body acceleration, but also the roll angular acceleration and pitch angular acceleration. Finally, uncontrolled and controlled cases are compared. With the aid of software Matlab/simulink, simulation process is done. Simulation results indicate that the proposed active suspension system proves to be effective in the vibration isolation of the suspension system both in ride comfort and in stability. © Maxwell Scientific Organization, 2012.


Tang C.,Northeastern University China | Zhang Y.,Northeastern University China | Zhao G.,Northeastern University China | Ma Y.,Shenyang Academy of Instrumentation Science
Chinese Journal of Mechanical Engineering (English Edition) | Year: 2014

The existing researches of the evaluation method of ride comfort of vehicle mainly focus on the level of human feelings to vibration. The level of human feelings to vibration is influenced by many factors, however, the ride comfort according to the common principle of probability and statistics and simple binary logic is unable to reflect these uncertainties. The random fuzzy evaluation model from people subjective response to vibration is adopted in the paper, these uncertainties are analyzed from the angle of psychological physics. Discussing the traditional evaluation of ride comfort during vehicle vibration, a fuzzily random evaluation model on the basis of annoyance rate is proposed for the human body's subjective response to vibration, with relevant fuzzy membership function and probability distribution given. A half-car four degrees of freedom suspension vibration model is described, subject to irregular excitations from the road surface, with the aid of software Matlab/Simulink. A new kind of evaluation method for ride comfort of vehicles is proposed in the paper, i.e., the annoyance rate evaluation method. The genetic algorithm and neural network control theory are used to control the system. Simulation results are obtained, such as the comparison of comfort reaction to vibration environments between before and after control, relationship of annoyance rate to vibration frequency and weighted acceleration, based on ISO 2631/1 (1982), ISO 2631-1 (1997) and annoyance rate evaluation method, respectively. Simulated assessment results indicate that the proposed active suspension systems prove to be effective in the vibration isolation of the suspension system, and the subjective response of human being can be promoted from very uncomfortable to a little uncomfortable. Furthermore, the novel evaluation method based on annoyance rate can further estimate quantitatively the number of passengers who feel discomfort due to vibration. A new analysis method of vehicle comfort is presented. © Chinese Mechanical Engineering Society and Springer-Verlag Berlin Heidelberg 2014.


Zhao Q.,Shenyang Academy of Instrumentation Science | Liu F.,Shenyang Academy of Instrumentation Science | Sun Z.,Shenyang Academy of Instrumentation Science
Advanced Materials Research | Year: 2013

Analysis of the structure characteristics of power plant direct air-cooled condenser automatic cleaning device. The disadvantages are that: Inclination deformation occur when the cleaning device was running; Transmission part was short serving life and easy damage; The high-pressure hose could damage air-cooled finned body, etc. Proposes a new structure of automatic cleaning device, which overcomes these shortcomings, and the structure is more simple. This device has completed the experiment and has been applied to a domestic power station direct air-cooled condenser cleaning system project. © (2013) Trans Tech Publications, Switzerland.


Tang C.,North University of China | Zhao G.,North University of China | Zhang Y.,North University of China | Ma Y.,Shenyang Academy of Instrumentation Science
Applied Mathematics and Information Sciences | Year: 2012

In this paper, a fuzzy logic control design is presented for the control of an active suspension system. As a non-linear full vehicle model with seven degrees of freedom is adopted, the road roughness intensity is modeled as a filtered white noise stochastic process. Two cases of fuzzy logic control strategies are proposed. In the first case, one fuzzy controller is presented, the dynamic travel of suspension and the derivation of dynamic travel of suspension are designed as the input variables. In the second case, four controllers are designed, namely, the heave movement controller, the pitch movement controller, the roll movement controller and the logical controller. With the aid of software Matlab/Simulink, the simulation models of full vehicle model in two cases of controller are achieved. The time response of the vehicle model due to road disturbance is obtained for each control strategy. Simulation results demonstrate that the proposed active suspension system proves to be effective in the ride comfort and drive stability enhancement of the suspension system. © 2012 NSP Natural Sciences Publishing Cor.

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