ADRC based on disturbance rejection of airborne electro-optical stabilized platform

2016 ◽  
Author(s):  
Zheng Chun-yan ◽  
Zhang Hong-gang
Keyword(s):  
Disturbance Rejection ◽  
Stabilized Platform

scholarly journals A High-Precision Control Scheme Based on Active Disturbance Rejection Control for a Three-Axis Inertially Stabilized Platform for Aerial Remote Sensing Applications

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xiangyang Zhou ◽  
Chao Yang ◽  
Beilei Zhao ◽  
Libo Zhao ◽  
Zhuangsheng Zhu
Keyword(s):  
Disturbance Rejection ◽  
Precision Control ◽  
Sensing Applications ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Control Scheme ◽  
Remote Sensing Applications ◽  
Aerial Remote Sensing ◽  
Stabilized Platform ◽  
Inertially Stabilized Platform

This paper presents a high-precision control scheme based on active disturbance rejection control (ADRC) to improve the stabilization accuracy of an inertially stabilized platform (ISP) for aerial remote sensing applications. The ADRC controller is designed to suppress the effects of the disturbance on the stabilization accuracy that consists of a tracking differentiator, a nonlinear state error feedback, and an extended state observer. By the ADRC controller, the effects of both the internal uncertain dynamics and the external multisource disturbances on the system output are compensated as a total disturbance in real time. The disturbance rejection ability of the ADRC is analyzed by simulations. To verify the method, the experiments are conducted. The results show that compared with the conventional PID controller, the ADRC has excellent capability in disturbance rejection, by which the effect of main friction disturbance on the control system can be weakened seriously and the stabilization accuracy of the ISP is improved significantly.

Disturbance rejection control of airborne radar stabilized platform based on active disturbance rejection control inverse estimation algorithm

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dong Mei ◽  
Zhu-Qing Yu
Keyword(s):  
Disturbance Rejection ◽  
Estimation Algorithm ◽  
Airborne Radar ◽  
Extended State ◽  
Content Type ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Inverse Estimation ◽  
The Stability ◽  
Stabilized Platform

Purpose This paper aims to study a disturbance rejection controller to improve the anti-interference capability and the position tracking performance of airborne radar stabilized platform that ensures the stability and clarity of synthetic aperture radar imaging. Design/methodology/approach This study proposes a disturbance rejection control scheme for an airborne radar stabilized platform based on the active disturbance rejection control (ADRC) inverse estimation algorithm. Exploiting the extended state observer (ESO) characteristic, an inversely ESO is developed to inverse estimate the unmodeled state and extended state of the platform system known as total disturbances, which greatly improves the estimation performance of the disturbance. Then, based on the inverse ESO result, feedback the difference between the output of the tracking differentiator and the inverse ESO result to the nonlinear state error feedback controller (NLSEF) to eliminate the effects of total disturbance and ensure the stability of the airborne radar stabilized platform. Findings Simulation experiments are adopted to compare the performance of the ADRC inverse estimation algorithm with that of the proportional integral derivative controller which is one of the mostly applied control schemes in platform systems. In addition, classical ADRC is compared as well. The results have shown that the ADRC inverse estimation algorithm has a better disturbance rejection performance when disturbance acts in airborne radar stabilized platform, especially disturbed by continuous airflow under some harsh air conditions. Originality/value The originality of this paper is exploiting the ESO characteristic to develop an inverse ESO, which greatly improves the estimation performance of the disturbance. And the ADRC inverse estimation algorithm is applied to ameliorate the anti-interference ability of the airborne radar stabilization platform, especially the ability to suppress continuous interference under complex air conditions.

Active disturbance rejection and filter control of gyro-stabilized platform

2016 ◽  
Vol 24 (1) ◽  
pp. 169-177 ◽  
Author(s):  
丛 爽 CONG Shuang ◽  
孙光立 SUN Guang-li ◽  
邓 科 DENG Ke ◽  
尚伟伟 SHANG Wei-wei ◽  
沈宏海 SHEN Hong-hai
Keyword(s):  
Disturbance Rejection ◽  
Active Disturbance Rejection ◽  
Stabilized Platform

scholarly journals A Model Reference Adaptive Control/PID Compound Scheme on Disturbance Rejection for an Aerial Inertially Stabilized Platform

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Xiangyang Zhou ◽  
Chao Yang ◽  
Tongtong Cai
Keyword(s):  
Adaptive Control ◽  
Disturbance Rejection ◽  
Model Reference Adaptive Control ◽  
Time Varying ◽  
Tracking Accuracy ◽  
Model Reference ◽  
Mass Unbalance ◽  
Stabilized Platform ◽  
Model Reference Adaptive ◽  
Inertially Stabilized Platform

This paper describes a method to suppress the effect of nonlinear and time-varying mass unbalance torque disturbance on the dynamic performances of an aerial inertially stabilized platform (ISP). To improve the tracking accuracy and robustness of the ISP, a compound control scheme based on both of model reference adaptive control (MRAC) and PID control methods is proposed. The dynamic model is first developed which reveals the unbalance torque disturbance with the characteristic of being nonlinear and time-varying. Then, the MRAC/PID compound controller is designed, in which the PID parameters are adaptively adjusted based on the output errors between the reference model and the actual system. In this way, the position errors derived from the prominent unbalance torque disturbance are corrected in real time so that the tracking accuracy is improved. To verify the method, the simulations and experiments are, respectively, carried out. The results show that the compound scheme has good ability in mass unbalance disturbance rejection, by which the system obtains higher stability accuracy compared with the PID method.

scholarly journals An Improved Fuzzy Neural Network Compound Control Scheme for Inertially Stabilized Platform for Aerial Remote Sensing Applications

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Xiangyang Zhou ◽  
Yating Li ◽  
Yuan Jia ◽  
Libo Zhao
Keyword(s):  
Disturbance Rejection ◽  
Fuzzy Neural Network ◽  
Variable Universe ◽  
Compound Control ◽  
Sensing Applications ◽  
Control Scheme ◽  
Fuzzy Neural ◽  
Remote Sensing Applications ◽  
Stabilized Platform ◽  
Inertially Stabilized Platform

An improved fuzzy neural network (FNN)/proportion integration differentiation (PID) compound control scheme based on variable universe and back-propagation (BP) algorithms is proposed to improve the ability of disturbance rejection of a three-axis inertially stabilized platform (ISP) for aerial remote sensing applications. In the design of improved FNN/PID compound controller, the variable universe method is firstly used for the design of the fuzzy/PID compound controller; then, the BP algorithm is utilized to finely tune the controller parameters online. In this way, the desired performances with good ability of disturbance rejection and high stabilization accuracy are obtained for the aerial ISP. The simulations and experiments are, respectively, carried out to validate the improved FNN/PID compound control method. The results show that the improved FNN/PID compound control scheme has the excellent capability in disturbance rejection, by which the ISP’s stabilization accuracy under dynamic disturbance is improved significantly.

scholarly journals Toolface Control Method for a Dynamic Point-the-Bit Rotary Steerable Drilling System

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1831 ◽  
Author(s):  
Weiliang Wang ◽  
Yanfeng Geng ◽  
Ning Wang ◽  
Xiaojiao Pu ◽  
Joice de Oliveira Fiaux
Keyword(s):  
Disturbance Rejection ◽  
Control Method ◽  
Dynamic Stiffness ◽  
Parameter Uncertainties ◽  
External Disturbances ◽  
Disturbance Rejection Control ◽  
High Dynamic ◽  
Speed Estimator ◽  
Stabilized Platform ◽  
Drilling Conditions

In the dynamic point-the-bit rotary steerable system (DPRSS), a high dynamic stiffness toolface control method is desired to ensure the stabilized platform traces the directional command accurately and quickly. A three-loop compound toolface control method using the Model-based Active Disturbance Rejection Control (MADRC) algorithm is presented, and a load torque estimator and an outer housing speed estimator are designed based on system model to obtain the external disturbances. The proposed toolface control method was verified by numerical simulation and DPRSS prototype testing, and its speed loop frequency responses are analyzed. The results reveal that this method is effective in disturbance rejection and robust against parameter uncertainties, and the MADRC shows better performance compared with the conventional ADRC and the proportional-integral (PI) controller. The proposed method has the potential to be used in harsh drilling conditions.

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