High Reliability Simulation and Application Design of CPCI Real-time Measurement and Control System for Weapon Equipment

In order to meet the requirement of high reliability of real-time measurement and control system of weapon equipment, the problem of enhancing reliability of the CPCI measurement and real-time control system with wide application at present is researched in depth in this paper. A modeling and application design method being able to provide high system reliability is built by using hot-swap technology, solving many problems in the process of plugging in and out, including static electricity of CPCI cards, power management and protection, etc. A fault prediction modeling and method of real-time measurement and control system of weapon equipment system based on SVM and an SVR regression model are established to conquer the shortages of few fault samples and high accuracy requirements in real-time measurement and control system. The simulation result indicates that the prediction performance of the proposed model and method is better than BP neural network.

[1]  Huanqing Wang,et al.  Adaptive robust fault-tolerant control for nonlinear systems with prescribed performance , 2015 .

[2]  Sanaz Salem,et al.  Fault-tolerant delay cell for ring oscillator application in 65 nm CMOS technology , 2018, IET Circuits Devices Syst..

[3]  Dandan Wang,et al.  Input-to-state stability of impulsive switched hybrid time-delay systems with delayed impulse effects , 2014, Proceedings of the 33rd Chinese Control Conference.

[4]  Xiaoguang Hu,et al.  An extension HA design for the hot-swap application of Compact PCI device , 2013, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).

[5]  Shaocheng Tong,et al.  Adaptive fuzzy decentralised fault-tolerant control for nonlinear large-scale systems with actuator failures and unmodelled dynamics , 2015, Int. J. Syst. Sci..

[6]  Mohammad Mohammadi Najafabadi,et al.  The Application of Redundant Units and Alternative Designs to Reliability Optimization , 2017 .

[7]  Zhibin Qiu,et al.  Application of a SVR model to predict lightning impulse flashover voltages of parallel gaps for insulator strings , 2019 .

[8]  Xiaoguang Hu,et al.  Redundant and fault-tolerant algorithms for real-time measurement and control systems for weapon equipment. , 2017, ISA transactions.

[9]  V. Vapnik Estimation of Dependences Based on Empirical Data , 2006 .

[10]  Danghui Wang,et al.  Research on Fault-Tolerant Flight Control Computer for High Altitude Long Endurance Unmanned Air Vehicle , 2018 .

[11]  Jiuxiang Dong,et al.  Output feedback fault-tolerant control by a set-theoretic description of T-S fuzzy systems , 2017, Appl. Math. Comput..

[12]  I. Slama-Belkhodja,et al.  Fault-Tolerant Control Using the GA Optimization Considering the Reluctance Torque of a Five-Phase Flux Switching Machine , 2015, IEEE Transactions on Energy Conversion.

[13]  Xiaoguang Hu,et al.  Design and realization of HA hot-swap application for CPCI/PXI system , 2014, 2014 9th IEEE Conference on Industrial Electronics and Applications.

[14]  H.A. Toliyat,et al.  Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review , 2005, IEEE Transactions on Energy Conversion.

[15]  Dan Li,et al.  Hot-swap and hot redundancy technology for high-availability Compact PCI system , 2016, IEICE Electron. Express.