Field Programmable Gate Array-Based Attitude Stabilization

Stepaniak, Michael J.; Haag, Maarten Uijt de; Graas, Frank van

doi:10.2514/1.39707

Cited by 3 publications

(2 citation statements)

References 11 publications

(5 reference statements)

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“…By Theorem 1, the bound of 1  and 2  are achieved. So we can conclude that the velocity tracking error and the moment tracking error can converge to the prescribed performance bound.…”

Section: Stabilized Analysismentioning

confidence: 83%

“…Optical tracking system is widely used in robot self-balance system [1], unmanned aerial vehicle [2], airborne aiming system [3] and non-strapdown seeker servo system [4].The control object of the optical tracking system is the optical tracking platform. The main factors that affect the tracking performance are the carrier speed interference and the friction torque between the shaft systems [5] [6].Two difficulties when dealing with the improvement of the system performance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prescribed Performance Control for Two-axis Optronic Stabilized Platform

et al. 2018

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Abstract. Aiming at improving the tracking and stabilizing performance of two-axis optronic stabilized platform with Stribeck friction and uncertain velocity disturbance, a prescribed performance control strategy with unknown initial errors is designed. By designing a new performance function, the limit of traditional prescribed control that the initial error has to be known accurately is broken through. The strategy possesses strong robustness against unknown disturbance, and the state error is restrained to a predefined arbitrary small residual. It is guaranteed that the closedloop system is uniformly ultimately bounded. The simulation results demonstrate the effectiveness of proposed strategy.

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Section: Stabilized Analysismentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Prescribed Performance Control for Two-axis Optronic Stabilized Platform

et al. 2018

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Guaranteeing Prescribed Performance Control for Gyrostabilized Platform with Unknown Control Direction Preceded by Hysteresis

Wang

Lei

et al. 2019

International Journal of Aerospace Engineering

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This paper investigates the problem of precise and quick tracking for gyrostabilized platform (GSP) with unknown hysteresis, unknown control directions, and unknown compound disturbance. Firstly, the dynamic model of GSP is transformed into a strict feedback formulation by designed FD to facilitate the backstepping control system. Secondly, performance functions are constructed at each step of backstepping design to force tracking errors to fall within the prescribed boundaries. Besides, through ingenious transformation, radial basis function neural network (RBFNN) is applied to estimate the unknown control gains preceded by hysteresis. Hence, the problem of prescribed performance control with unknown compound disturbances, unknown hysteresis, and unknown control directions is creatively solved. Furthermore, the exploited controllers are accurate model independent, which guarantees satisfactory robustness of control laws against unknown uncertainties. Finally, the stability of the closed-loop control system is confirmed via Lyapunov stability theory, and numerical simulations are given for a GSP to validate the effectiveness of the proposed controller.

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Backstepping Sliding Mode Control for Radar Seeker Servo System Considering Guidance and Control System

Wang

Lei

et al. 2018

Sensors

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This paper investigates the design of a missile seeker servo system combined with a guidance and control system. Firstly, a complete model containing a missile seeker servo system, missile guidance system, and missile control system (SGCS) was creatively proposed. Secondly, a designed high-order tracking differentiator (HTD) was used to estimate states of systems in real time, which guarantees the feasibility of the designed algorithm. To guarantee tracking precision and robustness, backstepping sliding-mode control was adopted. Aiming at the main problem of projectile motion disturbance, an adaptive radial basis function neural network (RBFNN) was proposed to compensate for disturbance. Adaptive RBFNN especially achieves online adjustment of residual error, which promotes estimation precision and eliminates the “chattering phenomenon”. The boundedness of all signals, including estimation error of high-order tracking differentiator, was especially proved via the Lyapunov stability theory, which is more rigorous. Finally, in considered scenarios, line of sight angle (LOSA)-tracking simulations were carried out to verify the tracking performance, and a Monte Carlo miss-distance simulation is presented to validate the effectiveness of the proposed method.

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Field Programmable Gate Array-Based Attitude Stabilization

Cited by 3 publications

References 11 publications

Prescribed Performance Control for Two-axis Optronic Stabilized Platform

Prescribed Performance Control for Two-axis Optronic Stabilized Platform

Guaranteeing Prescribed Performance Control for Gyrostabilized Platform with Unknown Control Direction Preceded by Hysteresis

Backstepping Sliding Mode Control for Radar Seeker Servo System Considering Guidance and Control System

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