Multi Criterion Variable Weight Comprehensive Evaluation Method of Guidance and Control System

doi:10.16182/j.issn1004731x.joss.201802009

Abstract

Abstract: The evaluation of guidance and control system is necessary in the process of vehicle development. In view of lacking of effective comprehensive evaluation methods and the corresponding auxiliary software, the performance evaluation methods of vehicle guidance and control systems are researched, the structure of the system is analyzed, and a hierarchical performance evaluation index system is established. Considering the varying degrees of the data reliability and independence of each index, a variable-weight comprehensive method with multi-criteria is proposed. A performance evaluation example of vehicle guidance and control system is given which shows that the proposed method weights the index comprehensively. A reasonable evaluation result is given considering the balance of system performance, which provides available method for the follow-up guidance and control system performance evaluation.

Key words: guidance and control system, performance evaluation, index system, index calculation methods, multi-index comprehensive

CLC Number:

TP391.9

Wang Yuxiao, Wang Songyan, Chao Tao, Yang Ming. Multi Criterion Variable Weight Comprehensive Evaluation Method of Guidance and Control System[J]. Journal of System Simulation, 2018, 30(2): 435-442.

References 11

[1]	傅若玮, 宋执环. 控制系统性能评估的研究现状与展望[J]. 华中科技大学学报(自然科学版), 2009, 37(增1): 226-229. Fu R W, Song Z H. Control systems performance assessment: a survey and prospect[J]. Journal of Huazhong University of Science and Technology (Nature Science Edition) , 2009, 37(S1): 226-229.
[2]	Hanson J.Advanced guidance and control project for reusable launch vehicles[C]// AIAA Guidance, Navigation, and Control Conference and Exhibit. 2000: 1-10.
[3]	Rea J R, Putnam Z R.A comparison of two Orion skip entry guidance algorithms[C]// AIAA Guidance, Navigation, and Control Conference and Exhibit. 2007: 6424-6442.
[4]	Hanson J M, Jones R E.Test results for entry guidance methods for space vehicles[J]. Journal of guidance, control, and dynamics.(S0731-5090), 2004, 27(6): 960-966.
[5]	宋贵宝, 吉礼超, 刘冬. 防空导弹制导系统综合效能评估指标体系研究[J]. 战术导弹技术, 2009, 5: 11. Song G B, Ji L C, Liu D. Research on Comprehensive Effectiveness Evaluation Criteria System of Guidance and Control System of Anti-aircraft Missile[J]. Tactical Missile Technology, 2009, 5: 11.
[6]	汤锦祖, 张欣光. 高超声速飞行器滑翔再入性能评估[J]. 火力与指挥控制, 2012, 37(8): 120-123. Tang J Z, Zhang X G. Research on Performance Evaluation for Hypersonic Reentry Glide Vehicle[J]. Fire Control & Command Control, 2012, 37(8): 120-123.
[7]	苏为华. 论统计指标的构造过程[J]. 统计研究, 1996 (5): 34-37. Su W H. The construction process of statistical indicators[J]. Statistical Research, 1996(5): 34-37.
[8]	马卫华. 高超声速飞行器制导与控制性能评估方法[J]. 航天控制, 2012, 30(4):7-12. Ma W H. Research on Evaluation Method of Guidance and Control Performance for Hypersonic Vehicle[J]. Aerospace Control, 2012, 30(4):7-12.
[9]	李洪兴. 因素空间理论与知识表示的数学框架(VIII)——变权综合原理[J]. 模糊系统与数学, 1995, 9(3): 1-9. Li H X. Factor space theory and mathematical framework of knowledge representation (VIII)——Variable weight synthesis principle[J]. Fuzzy Systems and Mathematics, 1995, 9(3): 1-9.
[10]	汪培庄. 模糊集与随机集落影[M]. 北京: 北京师范大学出版社, 1985: 34-50.Wang P Z. Fuzzy Sets and Projectable Random[M]. Beijing: Beijing normal university press,1985: 34-50.
[11]	张忠, 方可, 杨明. 基于群组AHP的复杂仿真系统可信度评估方法[J]. 系统工程与电子技术, 2011, 33(11): 2569-2572. Zhang Z, Fang K, Yang M. Method for complex simulation credibility evaluation based on group AHP[J]. Systems Engineering and Electronics, 2011, 33(11): 2569-2572.

[1]	Wei Li, Huan Zhang, Ping Ma, Ming Yang. Research on Credibility Assessment of Cloud Simulation System [J]. Journal of System Simulation, 2022, 34(4): 679-687.
[2]	Wang Yinsong, Wang Kai. Performance Evaluation Method for Load Control System Considering “Two Detailed Rules” [J]. Journal of System Simulation, 2021, 33(3): 710-720.
[3]	Liu Haozhe, Li Wei, Ma Ping, Yang Ming. System Performance Evaluation Method Based on Multi-source Prior Data [J]. Journal of System Simulation, 2021, 33(11): 2673-2680.
[4]	Sun Yifei, Cai Liangliang, Zhou Yi, Zhou Zhong. MRMark: A Machine Performance Evaluation Method for Three-dimensional Video Fusion [J]. Journal of System Simulation, 2020, 32(7): 1375-1384.
[5]	Ma Ning, Lin Shenglin. Simulation-based Effectiveness Evaluation for System-of-system under Multi-equipment Collaboration [J]. Journal of System Simulation, 2020, 32(6): 1155-1163.
[6]	Ran Peizhi, Li Wei, Bao Ran, Ma Ping. A Simulation Credibility Assessment Method Based on Improved Fuzzy Comprehensive Evaluation [J]. Journal of System Simulation, 2020, 32(12): 2469-2474.
[7]	Tianyu Huang, Yunying Guo. Research of Nonlinear Time Series Prediction Method for Motion Capture [J]. Journal of System Simulation, 2018, 30(7): 2808-2815.
[8]	Yang Kun, Ge Xiangyu, Ju Pengfei, Bai Jie. Evaluation on Pilot Performance of Detecting Runway Incursion Based on Visual Simulation [J]. Journal of System Simulation, 2018, 30(5): 1967-1973.
[9]	Cao Dongfeng, Wang Yan. Bayesian Evaluation Method for Energy Efficiency of Manufacturing System Based on Combined Weights [J]. Journal of System Simulation, 2018, 30(11): 4313-4322.
[10]	Zu Xianghuan, Wang Yinyan, Yang Chuanlei, Du Jianwei, Wang Jialun. Research and Implementation of EGR performance Evaluation for Turbocharged Diesel Engine [J]. Journal of System Simulation, 2017, 29(12): 3075-3081.
[11]	Zhang Denghui, Chao Tao, Wang Songyan, Ma Ping. Performance Evaluation of Guidance and Control System Based on Improved Latin Hypercube [J]. Journal of System Simulation, 2017, 29(10): 2345-2352.
[12]	Ma Xiangguo, Liu Tongjuan, Wang Li, Jiang Rongfen. Performance Evaluation of Automated Warehouse Based on Markov Chain [J]. Journal of System Simulation, 2016, 28(7): 1692-1700.
[13]	Qi Zongfeng, Han Shan, Li Jianxun. Research on Radar Anti-jamming Performance Evaluation Index System Based on Rough Set Theory [J]. Journal of System Simulation, 2016, 28(2): 335-342.
[14]	Chen Yan, Wang Yan. Energy Consumption Analysis of Discrete Manufacturing Based on Improved Principal Component Analysis Method [J]. Journal of System Simulation, 2016, 28(12): 3087-3094.
[15]	Li Fan, Geng Xu, Dong Xiaojie, Hong Zehua. Application of Mutil-level Fuzzy Algorithm in IR Countermeasure Performance Integrated Evaluation [J]. Journal of System Simulation, 2015, 27(9): 2176-2180.