Acceleration feedback control (AFC) enhanced by disturbance observation and compensation (DOC) for high precision tracking in telescope systems

Wang, Qiang; Cai, Huaxiang; Huang, Yongmei; Ge, Lijuan; Tang, Tao; Su, Yanrui; Liu, Xiang; Li, Jinying; He, Dong; Du, Shengping; Liu, Yu

doi:10.1088/1674-4527/16/8/124

Cited by 24 publications

(13 citation statements)

References 19 publications

(22 reference statements)

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“…in the control of Classical Mechanical systems the Acceleration Feedback Controllers (e.g. [31]- [33]) feeds back the 2nd derivaives, but in a different manner. Though this signal may be very noisy, the success of these controllers anticipates that the noise problems can be tackled in the case of the fixed point iteration-based controllers.…”

Section: The Fpi-based Adaptive Controllermentioning

confidence: 99%

Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus

Varga

Kovács

Eigner

et al. 2019

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

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In natural sciences, especially in life sciences, controller designers frequently meet the problem that though the controlled system is modeled by a set of nonlinearly coupled Ordinary Differential Equations (ODE) containing various independent variables, only a single control input is available by the use of which the propagation of only one variable has to be controlled. Normally the controlled state variable can be observed by direct measurements, while no sensors are available for obtaining information on the propagation of the other ones. Though in the possession of a reliable system model one has good odds to develop state observers, in the practice just the reliable model used to be missing. While the traditional control design methodologies normally need some state estimation, the Fixed Point Iteration-based (FPI) Adaptive Controller was developed to evade this difficulty. In this design instead modeling the effects of the propagation of the various state variables, these effects are directly observed and compensated on this basis. This approach can be used without structural modification if certain effects appear through some time-delay (Delayed Differential Equations-DDE). In many cases simple and effective models can be developed that contain only pure delay effects. In this paper it is shown that a recent DDE model of Diabetes Mellitus can be used in the FPI-based adaptive blood glucose concentration level control even if the available model is very imprecise. This statement is substantiated by numerical simulations.

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Section: The Fpi-based Adaptive Controllermentioning

confidence: 99%

Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus

Varga

Kovács

Eigner

et al. 2019

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

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“…Therefore, we only consider the elevation as the control target. We used a system with the classical double-loop structure (position loop and velocity loop) [15], as shown in Figure 10.…”

Section: Compensation Algorithm and Experiments Set Upmentioning

confidence: 99%

Analysis of the Subdivision Errors of Photoelectric Angle Encoders and Improvement of the Tracking Precision of a Telescope Control System

Wang

Zhou

et al. 2018

Sensors

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Photoelectric angle encoders, working as position sensors, have a great influence on the accuracy and stability of telescope control systems (TCS). In order to improve the tracking precision of TCS, a method based on subdivision error compensation for photoelectric angle encoders is proposed. First, a mathematical analysis of six types of subdivision errors (DC error, phase error, amplitude error, harmonic error, noise error, and quantization error) is presented, which is different from the previously used analysis based on the Lissajous figure method. In fact, we believe that a mathematical method is more efficient than the figure method for the expression of subdivision errors. Then, the distribution law and period length of each subdivision error are analyzed. Finally, an error compensation algorithm is presented. In a real TCS, the elevation jittering phenomenon occurs, which indicates that compensating for the amplitude error is necessary. A feed-forward loop is then introduced into the TCS, which is position loop- and velocity loop-closed, leading to a decrease of the tracking error by nearly 54.6%, from 2.31” to 1.05”, with a leading speed of 0.25°/s, and by 40.5%, from 3.01” to 1.79”, with a leading speed of 1°/s. This method can realize real-time compensation and improve the ability of TCS without any change of the hardware. In addition, independently of the environment and the kind of control strategy used, this method can also improve the tracking precision presumably because it compensates the measuring error inside the photoelectric angle encoder.

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“…[19,[31][32][33]) in this approach the measured "acceleration" signals are also used as in the "Acceleration Feedback Controllers" (AFC) (e.g. [34][35][36][37][38]).…”

Section: Robotics and Automation Engineering Journalmentioning

confidence: 99%

On the Alternatives of Lyapunov’s Direct Method in Adaptive Control Design

Tar

2018

RAEJ

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Acceleration feedback control (AFC) enhanced by disturbance observation and compensation (DOC) for high precision tracking in telescope systems

Cited by 24 publications

References 19 publications

Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus

Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus

Analysis of the Subdivision Errors of Photoelectric Angle Encoders and Improvement of the Tracking Precision of a Telescope Control System

On the Alternatives of Lyapunov’s Direct Method in Adaptive Control Design

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