Evaluation of Recursive Least Squares algorithm for parameter estimation in aircraft real time applications

Kamali, C; Pashilkar, AA; Raol, Jitendra R.

doi:10.1016/j.ast.2010.12.007

Cited by 33 publications

(13 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is also noteworthy that two SLS algorithms were also proposed earlier by [14], that are more general than the SRLS of [2,3]. Finally, the asymptotic convergence of SRLS to the true parameter values can be established for the batch-type version of (7), and more recent studies [13] also advocated the advantages of SRLS in terms of transient behavior and computational issues (flops).…”

Section: B Stabilized Recursive Least Squares (Srls)mentioning

confidence: 96%

On-line parameter estimation for indirect adaptive flight control: a practical evaluation of several techniques

Hardier

Ferreres

Sato

2020

2020 IEEE Conference on Control Technology and Applications (CCTA)

View full text Add to dashboard Cite

To be able to maintain their performance, the Flight Control Systems in use on most transport aircraft should be endowed with resilient properties to deal with sensor/actuator faulty conditions or any significant airframe changes. During the H2020 VISION project, several adaptive control designs have been developed by ONERA, and were flight tested to this end using the MuPAL-α research aircraft of JAXA. One of these solutions involve a gain-scheduled controller designed offline plus an estimation algorithm to track the time-varying parameters on-line, permitting the values of the main stability and control derivatives required to schedule the controller to be updated in real time. This paper focuses on the estimation part, and provides an experimental comparison of some results achieved in strictly similar conditions by using either frequency or time domain techniques. A new Hybrid Stabilized Recursive Least-Squares (HSRLS) is also proposed, as well as competing options regarding the aircraft modeling used by the estimator.

show abstract

Section: B Stabilized Recursive Least Squares (Srls)mentioning

confidence: 96%

On-line parameter estimation for indirect adaptive flight control: a practical evaluation of several techniques

Hardier

Ferreres

Sato

2020

2020 IEEE Conference on Control Technology and Applications (CCTA)

View full text Add to dashboard Cite

show abstract

“…One of the common methods for estimating the parameters of linear equations is the linear least squares method. In Kamali et al., 24 the RLS method has been used to identify the flight parameters of a plane. A complete description of this method has also been presented in Brewer and Leondes 25 and Wei and Marple.…”

Section: Pitching Mode Coefficients Estimationmentioning

confidence: 99%

Identifying pitching mode of aerial planting projectile by the use of image processing

Goodarzi

Sabzehparvar

2016

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

Aerial planting is a new and affordable method, which is used for purposes of reforestation and restoring pastures. In this study, flight dynamics of an aerial planting projectile has been simulated using data of the wind tunnel test. By creating the projectile graphical model and using the results of dynamic equations for this model, pitching angle has been simulated graphically by recording the pitch attitude of the graphical model and, by applying spectral filtration the rate of pitch angle at any point of the trajectory is calculated. Primary dynamic model parameters including the coefficients of regression equation of motion are estimated by applying the least squares estimator. Comparison of the estimated coefficients from image processing and coefficients given to the simulation program reveals high accuracy of the model resulting from the image processing data used in this method and approves wind tunnel test data by graphical model and calibration of camera measurement. Also, an experimental test setup has been created and the images of projectile falling down in the presence of fan flow have been captured with high-speed digital camera. By decreasing the ambient light intensity, the images and measurement noise of theta angle increases. By applying recursive least square algorithm, sensitivity of coefficients and robustness of this algorithm has been analyzed. The analysis results indicate that the estimation of coefficients using image processing data has great accuracy.

show abstract

“…Also, some of the more efficient parameter estimation methods have been developed based on an implicated function technique in combination with optimization. These include the Equation Error Method (EEM) [ 5 – 8 ], the Output Error Method (OEM) [ 9 – 11 ], and the Filter Error Method (FEM) [ 12 – 15 ]. However, those methods still require a predefined/initial aircraft model.…”

Section: Introductionmentioning

confidence: 99%

“…ese include the Equation Error Method (EEM) [5][6][7][8], the Output Error Method (OEM) [9][10][11], and the Filter Error Method (FEM) [12][13][14][15]. However, those methods still require a predefined/ initial aircraft model.…”

Section: Introductionmentioning

confidence: 99%

Aircraft Control Parameter Estimation Using Self‐Adaptive Teaching‐Learning‐Based Optimization with an Acceptance Probability

Kanokmedhakul

Panagant

Bureerat

et al. 2021

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

This work presents a metaheuristic (MH) termed, self-adaptive teaching-learning-based optimization, with an acceptance probability for aircraft parameter estimation. An inverse optimization problem is presented for aircraft longitudinal parameter estimation. The problem is posed to find longitudinal aerodynamic parameters by minimising errors between real flight data and those calculated from the dynamic equations. The HANSA-3 aircraft is used for numerical validation. Several established MHs along with the proposed algorithm are used to solve the proposed optimization problem, while their search performance is investigated compared to a conventional output error method (OEM). The results show that the proposed algorithm is the best performer in terms of search convergence and consistency. This work is said to be the baseline for purely applying MHs for aircraft parameter estimation.

show abstract

Evaluation of Recursive Least Squares algorithm for parameter estimation in aircraft real time applications

Cited by 33 publications

References 7 publications

On-line parameter estimation for indirect adaptive flight control: a practical evaluation of several techniques

On-line parameter estimation for indirect adaptive flight control: a practical evaluation of several techniques

Identifying pitching mode of aerial planting projectile by the use of image processing

Aircraft Control Parameter Estimation Using Self‐Adaptive Teaching‐Learning‐Based Optimization with an Acceptance Probability

Contact Info

Product

Resources

About