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	The Heterogeneous Deployment Tool for Hardware and Software Co-design 会议论文 OAI收割 Hangzhou, China, October 5-7, 2020 作者: Zhao BJ(赵冰洁) \| 收藏 \| 浏览/下载：51/0 \| 提交时间：2021/03/14 heterogeneous deployment tool FPGA partial reconfiguration CPU PCI Express Simulink model
	Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China 作者: Fan Y. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 To deal with the defects of BP neural networks used in balance control of inverted pendulum such as longer train time and converging in partial minimum this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN) builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.
	The research of electromachanical actuator control system development based on the MATLAB platform using the RTDX (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者: Zhang J.; Zhang Y.; Zhang J.; Zhang J. 收藏 \| 浏览/下载：43/0 \| 提交时间：2013/03/25 In order to rapidly develop the control system code of the Electromachanical Actuator(EMA) the DSP development platform is established mostly based on the MATLAB and the development metheod is researched.First the DSP development platform archtecture in the environment of MATLAB is briefly introduced.And the principle of data exchange is showed.Then the EMA hardware structure is necessarily explained which one is for the developer to conveniently configure the system.Finally the developer reasonably configures the DSP models used in the simulink and constitutes them to speed and position closed loop control system of the EMA by using the RTDX and the MATLAB GUI. The EMA control system code will be debuged rapidly through this platform.The executed DSP code will be generated automatically.And the result of degugging would be showed on the MATLAB GUI.For generlly speaking the difficulties of the EMA control system code development method is reduced and the development cycle is shortened through the MATLAB model.This system development method is fast and effective. 2011 IEEE.
	Modular aircraft simulation platform based on simulink (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, August 4, 2010 - August 7, 2010, Xi'an, China Chen C.-Q.; Ji Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Aircraft simulation platform is the most important supporting technology in the aircraft development process. This simulation platform can be used for validating the design of subsystem and also it provides the necessary data for the Aircraft design. Wind has great impact on the flight parameter. In order to accurately simulate the wind model and calculate the flight parameters a simulation modeling method for flight parameter simulation platform under wind field environment is established. Firstly the various sub-systems which affecting flight parameters are analyzed some mathematical models of the flight parameter simulation platform is established. Secondly the atmospheric wind field is studied to analyze the impact on its trajectory. Then the model is built in the Simulink toolbox in the Matlab which is based on the principles of hierarchy and modularity using C MEX S-function for the complex kinetic equations. Finally when the models have been established encapsulating models for several subsystem and assembling them for the Aircraft simulation platform based on the unified interface. The simulation tests (including the performance test of a certain gliding Aircraft the wind influence test of a certain uncontrolled aircraft) prove the simulation capability of the platform and its calculating step can reach 1 ms. Comparing simulation with field test data of a certain uncontrolled aircraft it shows that the relative deviation of range is 0.47% the relative deviation of maximal altitude is 2.1%. Taking relevant standards as a reference standard it is demonstrated the platform is reliable meets the engineering accuracy requirements. 2010 IEEE.
	Line-of-sight locating algorithm for staring imaging aerial remote sensor (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China 作者: Li Y.; Li Y.; Li Y.; Li Y.; Li J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 A line-of-sight (LOS) Locating algorithm for staring imaging is presented in this paper. Staring imaging is an imaging mode for aerial remote sensor which photographs the designated earth-fixed target in muItidirections. Therefore the details of interesting targets is available. For the target obscured or disguised its advantage becomes more apparent. This paper proposes the method using two-axis rotation to achieve staring imaging and establishes the system model and the associated coordinates. Adopting the method of coordinate transformation the LOS Locating algorithm is constructed which determines the LOS direction. For the validation of algorithm Target Geolocation Algorithm is established using Simulink library blocks. Eventually it proves the feasibility of the LOS Locating algorithm. This article provides a thought of LOS Locating algorithm for staring imaging. The method of coordinate transformation used in this paper can be applied to line-of-sight positioning in other imaging modes. 2010 IEEE.
	Semi-physical simulation of an optoelectronic tracking servo system based on C MEX S functions (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Juan C.; Junhong Z. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 To the design of an optoelectronic tracking servo system we test the method [1 not only the reasonability of the control algorithm should be considered 2]. The simulation results verify the theoretical analysis. Because C MEX S function has the features of fast execute speed but the cost and time as well. It is necessary to establish the simulation model for the system. Applying the C MEX S functions independently generated program we can build the every independent digital control modules in MATLAB/SIMULINK for the optoelectronic tracking servo system. In the paper directly download to the hardwires we apply the C MEX S function to the design of the practical optoelectronic tracking servo system. For the speed we can design and debug the digital control modules in MATLAB/SIMULINK and then transform and download directly to DSP processor. 2010 IEEE. position loop control and TV delay compensations
	System identification of tracking error and evaluation of tracking performance using BP neural network (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Zhang N.; Shen X.-H. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 A novel approach for evaluating the tracking performance of optoelectronic theodolite is proposed. First an equivalent mathematic model of tracking error is established. Then the equivalent sine signal is inputted to the equivalent model and the outputs are sampled. The results of evaluating the tracking performance are obtained based on the statistical calculation of output produced by equivalent model. Equivalent model using the BP (Backprogration) neural network structure is identified. The training method of BP neural network adopts the LM (Levenberg-Marquardt) algorithm for the sake of speeding up training process. The BP neural network is trained and tested by using the training and testing samples gotten from the simulation model of optoelectronic theodolite tracking system under MATLAB/SIMULINK. The estimate errors of equivalent model including average error maximum error and standard error are 2.5872e-0060 2.8 and 1.9. The results show that the equivalent model identified based on BP neural network meets the needs of evaluating the tracking performance of optoelectronic theodolite. The accurate evaluation of tracking performance is achieved. 2009 SPIE.