cif®

Comprehensive Identification from FrEquency Responses

cif®在航空航天

Figure: Comprehensive Identification from FrEquency Responses

System identification is a procedure by which a mathematical description of vehicle or comp一个nt dynamic behavior is extracted from test data. 系统识别可以 be thought of as an inverse of simulation. Simulation requires the adoption of (a-priori) engineering assumptions to allow the formulation of model equations. 这些模拟 models are then used to predict aircraft or subsystem motion. 相反，系统 identification begins with measured aircraft motion and "inverts" the responses to rapidly extract a model which accurately reflects the measured aircraft motion, without making a-priori assumptions or requiring a time-consuming modeling effort. 应用程序 of system identification results include:
(1) comparison of wind tunnel and flight characteristics; (2) validation and update of simulation models; (3) handling-qualities 分析 and specification compliance; (4) optimization of automatic flight control systems; and (5) vibration and aeroelastic 分析.

美国.S. Army Combat Capabilities Development Command (DEVCOM) Aviation & 导弹 Center (AvMC) and 圣何塞州立大学 研究基金会 (菠菜网lol正规平台RF) jointly distribute an integrated facility for system identification based on a comprehensive frequency-response approach that is uniquely suited to the difficult problems associated with flight-test 数据分析. cif的基础® approach is the high-quality extraction of a complete multi-input/multi-output (MIMO) set of non-parametric input-to-output frequency responses. These responses fully characterize the coupled characteristics of the system without a-priori assumptions. 先进Chirp-Z transform and composite optimal window techniques developed and exercised with over 10 years of flight project applications provide significant improvement in frequency-response quality relative to standard Fast Fourier Transforms (FFTs). 复杂的非线性 search algorithms are used to extract a state-space model which matches the complete input/output frequency-response data set.

cif的主要特性® 方法是:

  • Identification algorithms highly-exercised and tuned based on many
    飞行项目
  • Highly-flexible and interactive definition of identification model structures
  • Fully automated weighting function selection based on frequency-response accuracy
  • Reliable parameter accuracy metrics
  • Integrated procedure for identification and model structure determination
  • Time-domain verification of models, including identification of offsets
    和偏见

cif中的应用模块® 允许:

  1. Rapid identification of transfer-function models
  2. 频谱信号分析
  3. Handling-qualities and classical servoloop analysis
  4. Time- and frequency-domain comparisons of identification versus simulation model prediction

 

额外的信息

cif®技术论文

销售 & 其他的调查 联系
圣何塞州立大学 研究基金会 
flight-control-sta@dctdsj.com