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Yin S.,CAS Changchun Institute of Optics and Fine Mechanics and Physics | Ming B.,Research Institute on General Development and Evaluation of Equipment | Gao H.,CAS Changchun Institute of Optics and Fine Mechanics and Physics | Wang T.,CAS Changchun Institute of Optics and Fine Mechanics and Physics
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | Year: 2012

To depress the guidance message noise of air-to-surface semi-strapdown imaging seeker, the control loop model of stability tracking was established, the transform characteristic of various error and output was derived. The power spectrum response of main noise was obtained. Then, the weighted angular rate of line of sight was gained. In order to verify the validity of the weighted angular rate of line of sight, the simulation were completed in the guidance loop. The results show that the weighted method can effectively compressed the noise measurement information of seeker. The semi-strapdown TV seeker was achieved with semi-physical way, the double closed-loop was completed in TV seeker to make disturbance isolation and track the target. The methods for extracting guided information through weighted angular rate of line of sight and direct extraction methods were compared. The experimental results show that the weighted extraction method of line of sight angular rate noise variance is 0.098 (°)/s, which is lower than the direct synthesis of noise of 46%. The weighted method can improve the problem of large semi-strapdown sight angular rate noise. Source


Sun B.-C.,Research Institute on General Development and Evaluation of Equipment | Sun B.-C.,Beijing Institute of Technology | Fan J.-F.,Beijing Information Science and Technology University
Chinese Control Conference, CCC | Year: 2013

A hybrid differentiator based on linear and nonlinear parts is introduced. A deeply strapdown guidance and control (DSGC) system for low-cost munitions is presented using body-fixed seeker and miniature inertial measurement unit (MIMU). The three-dimension line-of-sight (LOS) dynamics for guidance command are described using the missile-target geometry. Due to the weakness of strapdown seeker, the aforementioned hybrid differentiator is then introduced to obtain and filter the inertial LOS rate for proportional guidance law. The analysis and trajectory simulation results verify the performance of the proposed algorithm. © 2013 TCCT, CAA. Source


Sun B.,Research Institute on General Development and Evaluation of Equipment | Sun B.,Beijing Institute of Technology | Fan J.,Beijing Information Science and Technology University
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | Year: 2014

A novel deeply strapdown guidance & control (DSGC) framework based on strapdown seeker and strapdown inertial measurement unit was presented for miniature guided munitions applied to UAV, soldier shoulder and other platforms. Due to that there was no available guidance information of DSGC, the theoretic transform equations based on missile-target geometric relationship and roll -stabilized simplified equations were introduced, then a nonlinear differentiator was proposed for stable digital angular rate calculation. A PI compensated two -loop acceleration autopilot was presented as the inner loop of guidance system. The trajectory simulation for UAV platform and soldier shoulder was analyzed, respectively. The results showed that the DSGC technology was a well solution for the precisely guided miniature munitions especially the short-range. Wherein, the multiple-constraints design for guidance & control system was the critical factor for application. Source


Zhheng N.,PLA Air Force Aviation University | Zhang L.,PLA Air Force Aviation University | Zhang B.,PLA Air Force Aviation University | Wang W.,PLA Air Force Aviation University | And 2 more authors.
MATEC Web of Conferences | Year: 2016

At present, the fault signals of surface to air missile equipment are hard to collect and the accuracy of fault diagnosis is very low. To solve the above problems, based on the superiority of wavelet transformation on processing non-stationary signals and the advantage of SVM on pattern classification, this paper proposes a fault diagnosis model and takes the typical analog circuit diagnosis of one power distribution system as an example to verify the fault diagnosis model based on Wavelet Transformation and SVM. The simulation results show that the model is able to achieve fault diagnosis based on a small amount of training samples, which improves the accuracy of fault diagnosis. © 2016 Owned by the authors, published by EDP Sciences. Source


Wang Y.,Jilin University | Wu C.,Jilin University | Wu C.,CAS Institute of Automation | Wan L.,Research Institute on General Development and Evaluation of Equipment | Liang Y.,Jilin University
2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010 | Year: 2010

When faults occur in power systems, it is hard to manually deal with the fault data reported by the system of supervisory control and data acquisition (SCADA) because of the huge amount of alarm information. In this paper, we study the problem of power system fault diagnosis by using support vector machine (SVM), and enhance the ability of fault diagnosis through optimizing support vectors. The results of simulation tests demonstrate the effectiveness of the proposed automatic fault diagnosis method. ©2010 IEEE. Source

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