Gimbal control of inertially stabilized platform for airborne remote sensing system based on adaptive RBFNN feedback model

2021 ◽  
Vol 16 ◽  
pp. 100148
Author(s):  
Biao Xiang ◽  
Quanqi Mu
Keyword(s):  
Remote Sensing ◽  
Airborne Remote Sensing ◽  
Sensing System ◽  
Feedback Model ◽  
Stabilized Platform ◽  
Inertially Stabilized Platform

scholarly journals A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jianli Li ◽  
Wenjian Wang ◽  
Feng Jiao ◽  
Jiancheng Fang ◽  
Tao Yu
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Error Modeling ◽  
Compensation Method ◽  
Temperature Error ◽  
Bayesian Regularization ◽  
Airborne Remote Sensing ◽  
Accuracy Requirement ◽  
Sensing System ◽  
Single Temperature

The position and orientation system (POS) is a key equipment for airborne remote sensing systems, which provides high-precision position, velocity, and attitude information for various imaging payloads. Temperature error is the main source that affects the precision of POS. Traditional temperature error model is single temperature parameter linear function, which is not sufficient for the higher accuracy requirement of POS. The traditional compensation method based on neural network faces great problem in the repeatability error under different temperature conditions. In order to improve the precision and generalization ability of the temperature error compensation for POS, a nonlinear multiparameters temperature error modeling and compensation method based on Bayesian regularization neural network was proposed. The temperature error of POS was analyzed and a nonlinear multiparameters model was established. Bayesian regularization method was used as the evaluation criterion, which further optimized the coefficients of the temperature error. The experimental results show that the proposed method can improve temperature environmental adaptability and precision. The developed POS had been successfully applied in airborne TSMFTIS remote sensing system for the first time, which improved the accuracy of the reconstructed spectrum by 47.99%.

scholarly journals Development of a Cost-Effective Airborne Remote Sensing System for Coastal Monitoring

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 25366-25384 ◽  
Author(s):  
Duk-jin Kim ◽  
Jungkyo Jung ◽  
Ki-mook Kang ◽  
Seung Kim ◽  
Zhen Xu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cost Effective ◽  
Airborne Remote Sensing ◽  
Coastal Monitoring ◽  
Sensing System

An integral sliding mode controller based disturbances rejection compound scheme for inertially stabilized platform in aerial remote sensing

2017 ◽  
Vol 232 (5) ◽  
pp. 932-943
Author(s):  
Xiangyang Zhou ◽  
Yuan Jia ◽  
Yong Li
Keyword(s):  
Remote Sensing ◽  
Sliding Mode ◽  
Measurement Unit ◽  
Sliding Mode Controller ◽  
Parameter Uncertainties ◽  
Integral Sliding Mode ◽  
Nonlinear Disturbances ◽  
Aerial Remote Sensing ◽  
Stabilized Platform ◽  
Inertially Stabilized Platform

An integral sliding mode controller based disturbance rejection compound scheme is proposed to attenuate the influences of nonlinear disturbances and parameter uncertainties on stability accuracy of the three-axis inertially stabilized platform for the aerial remote sensing applications. The compound scheme is composed of an integral sliding mode controller and a disturbance measurement unit. The integral sliding mode controller is used to ensure robust stability against exterior nonlinear disturbances and parameter uncertainties, in which the saturation function is employed to reduce the chattering. The disturbance measurement unit is served as the disturbance measurement components of the rate loop and current loop of three closed-loop structure in the inertially stabilized platform control system, by which the interior high-frequency disturbances are compensated in real time. To verify the method, simulations and experiments are conducted. In simulations, the LuGre friction model is introduced to analyze the effects of disturbances. Further, a series of experiments are carried out. The results show that the compound scheme has excellent ability in both of disturbances rejection and robust stabilization, by which the stability accuracy of the inertially stabilized platform is improved significantly.

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