The Experts below are selected from a list of 84852 Experts worldwide ranked by ideXlab platform

S Reza O Moheimani - One of the best experts on this subject based on the ideXlab platform.

  • combining spiral scanning and Internal Model Control for sequential afm imaging at video rate
    IEEE-ASME Transactions on Mechatronics, 2017
    Co-Authors: Ali Bazaei, Yuen Kuan Yong, S Reza O Moheimani
    Abstract:

    We report on the application of Internal Model Control for accurate tracking of a spiral trajectory for atomic force microscopy (AFM). With a closed-loop bandwidth of only 300 Hz, we achieved tracking errors as low as 0.31% of the scan diameter and an ultravideo frame rate for a high pitch (30 nm) spiral trajectory generated by amplitude modulation of 3 kHz sinusoids. Design and synthesis procedures are proposed for a smooth modulating waveform to minimize the steady-state tracking error during sequential imaging. To obtain AFM images under the constant-force condition, a high bandwidth analogue proportional-integral Controller is applied to the damped $z$ -axis of a flexure nanopositioner. Efficacy of the proposed method was demonstrated by artifact-free images at a rate of 37.5 frames/s.

  • combining spiral scanning and Internal Model Control for sequential afm imaging at video rate
    IEEE-ASME Transactions on Mechatronics, 2017
    Co-Authors: Ali Bazaei, Yuen Kuan Yong, S Reza O Moheimani
    Abstract:

    We report on the application of Internal Model Control for accurate tracking of a spiral trajectory for atomic force microscopy (AFM). With a closed-loop bandwidth of only 300 Hz, we achieved tracking errors as low as 0.31% of the scan diameter and an ultravideo frame rate for a high pitch (30 nm) spiral trajectory generated by amplitude modulation of 3 kHz sinusoids. Design and synthesis procedures are proposed for a smooth modulating waveform to minimize the steady-state tracking error during sequential imaging. To obtain AFM images under the constant-force condition, a high bandwidth analogue proportional-integral Controller is applied to the damped $z$ -axis of a flexure nanopositioner. Efficacy of the proposed method was demonstrated by artifact-free images at a rate of 37.5 frames/s.

  • Internal Model Control for spiral trajectory tracking with mems afm scanners
    IEEE Transactions on Control Systems and Technology, 2016
    Co-Authors: Ali Bazaei, Mohammad Maroufi, Anthony G Fowler, S Reza O Moheimani
    Abstract:

    We demonstrate the application of Internal Model Control for accurate tracking of spiral scan trajectories, where the reference signals are orthogonal sinusoids whose amplitudes linearly vary with time. The plant is a 2-D microelectromechanical system nanopositioner equipped with in situ differential electrothermal sensors and electrostatic actuators. This device is used as the scanner stage in an atomic-force microscope. Additional Internal Model components are included in the Controllers to compensate for the residual tracking errors due to plant nonlinearities. In a large scan range with a diameter of 16 $\mu \text{m}$ , we achieved tracking of 1430-Hz spiral sinusoids, a frequency beyond the undamped fundamental resonance of the plant at 1340 Hz. This leads to a video-rate scan speed of 18 frames/s.

Zebin Yang - One of the best experts on this subject based on the ideXlab platform.

  • Internal Model Control for a bearingless permanent magnet synchronous motor based on inverse system method
    IEEE Transactions on Energy Conversion, 2016
    Co-Authors: Long Chen, Zebin Yang
    Abstract:

    To effectively enhance the Control accuracy and dynamic performance of a bearingless permanent magnet synchronous motor (BPMSM), this paper presents a novel Control scheme combining the inverse system method and the Internal Model Control. By cascading the inverse Model of the BPMSM with the original BPMSM system, a decoupling pseudo-linear system is constituted. Moreover, in order to improve the robustness of the whole system and reject the influence of the unModeled dynamics and system noise to the decoupling Control accuracy, the Internal Model Control scheme is employed for the pseudo-linear system to design extra closed-loop Controllers. Consequently, the proposed decoupling Control scheme incorporates the advantages of both the inverse system method and the Internal Model Control. The effectiveness of the proposed Control scheme is verified by experimental results at various operations.

Aniruddha Datta - One of the best experts on this subject based on the ideXlab platform.

  • Adaptive Internal Model Control: the discrete-time case
    International Journal of Adaptive Control and Signal Processing, 2001
    Co-Authors: Guillermo J. Silva, Aniruddha Datta
    Abstract:

    This paper considers the design and analysis of a discrete-time H2 optimal robust adaptive Controller based on the Internal Model Control structure. The certainty equivalence principle of adaptive Control is used to combine a discrete-time robust adaptive law with a discrete-time H2 Internal Model Controller to obtain a discrete-time adaptive H2 Internal Model Control scheme with provable guarantees of stability and robustness. The approach used parallels the earlier results obtained for the continuous-time case. Nevertheless, there are some differences which, together with the widespread use of digital computers for Controls applications, justifies a separate exposition. Copyright © 2001 John Wiley & Sons, Ltd.

  • Adaptive Internal Model Control: the discrete-time case
    Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999
    Co-Authors: Guillermo J. Silva, Aniruddha Datta
    Abstract:

    This paper considers the design and analysis of a discrete-time H/sub 2/ optimal robust adaptive Controller based on the Internal Model Control structure. The certainty equivalence principle of adaptive Control is used to combine a discrete-time robust adaptive law with a discrete-time H/sub 2/ Internal Model Controller to obtain a discrete-time adaptive H/sub 2/ Internal Model Control scheme with provable guarantees of stability and robustness. The approach used parallels the earlier results obtained for the continuous-time case. Nevertheless, there are some differences which, together with the widespread use of digital computers for Controls applications, justifies a separate exposition.

Ali Bazaei - One of the best experts on this subject based on the ideXlab platform.

  • combining spiral scanning and Internal Model Control for sequential afm imaging at video rate
    IEEE-ASME Transactions on Mechatronics, 2017
    Co-Authors: Ali Bazaei, Yuen Kuan Yong, S Reza O Moheimani
    Abstract:

    We report on the application of Internal Model Control for accurate tracking of a spiral trajectory for atomic force microscopy (AFM). With a closed-loop bandwidth of only 300 Hz, we achieved tracking errors as low as 0.31% of the scan diameter and an ultravideo frame rate for a high pitch (30 nm) spiral trajectory generated by amplitude modulation of 3 kHz sinusoids. Design and synthesis procedures are proposed for a smooth modulating waveform to minimize the steady-state tracking error during sequential imaging. To obtain AFM images under the constant-force condition, a high bandwidth analogue proportional-integral Controller is applied to the damped $z$ -axis of a flexure nanopositioner. Efficacy of the proposed method was demonstrated by artifact-free images at a rate of 37.5 frames/s.

  • combining spiral scanning and Internal Model Control for sequential afm imaging at video rate
    IEEE-ASME Transactions on Mechatronics, 2017
    Co-Authors: Ali Bazaei, Yuen Kuan Yong, S Reza O Moheimani
    Abstract:

    We report on the application of Internal Model Control for accurate tracking of a spiral trajectory for atomic force microscopy (AFM). With a closed-loop bandwidth of only 300 Hz, we achieved tracking errors as low as 0.31% of the scan diameter and an ultravideo frame rate for a high pitch (30 nm) spiral trajectory generated by amplitude modulation of 3 kHz sinusoids. Design and synthesis procedures are proposed for a smooth modulating waveform to minimize the steady-state tracking error during sequential imaging. To obtain AFM images under the constant-force condition, a high bandwidth analogue proportional-integral Controller is applied to the damped $z$ -axis of a flexure nanopositioner. Efficacy of the proposed method was demonstrated by artifact-free images at a rate of 37.5 frames/s.

  • Internal Model Control for spiral trajectory tracking with mems afm scanners
    IEEE Transactions on Control Systems and Technology, 2016
    Co-Authors: Ali Bazaei, Mohammad Maroufi, Anthony G Fowler, S Reza O Moheimani
    Abstract:

    We demonstrate the application of Internal Model Control for accurate tracking of spiral scan trajectories, where the reference signals are orthogonal sinusoids whose amplitudes linearly vary with time. The plant is a 2-D microelectromechanical system nanopositioner equipped with in situ differential electrothermal sensors and electrostatic actuators. This device is used as the scanner stage in an atomic-force microscope. Additional Internal Model components are included in the Controllers to compensate for the residual tracking errors due to plant nonlinearities. In a large scan range with a diameter of 16 $\mu \text{m}$ , we achieved tracking of 1430-Hz spiral sinusoids, a frequency beyond the undamped fundamental resonance of the plant at 1340 Hz. This leads to a video-rate scan speed of 18 frames/s.

Long Chen - One of the best experts on this subject based on the ideXlab platform.

  • Internal Model Control for a bearingless permanent magnet synchronous motor based on inverse system method
    IEEE Transactions on Energy Conversion, 2016
    Co-Authors: Long Chen, Zebin Yang
    Abstract:

    To effectively enhance the Control accuracy and dynamic performance of a bearingless permanent magnet synchronous motor (BPMSM), this paper presents a novel Control scheme combining the inverse system method and the Internal Model Control. By cascading the inverse Model of the BPMSM with the original BPMSM system, a decoupling pseudo-linear system is constituted. Moreover, in order to improve the robustness of the whole system and reject the influence of the unModeled dynamics and system noise to the decoupling Control accuracy, the Internal Model Control scheme is employed for the pseudo-linear system to design extra closed-loop Controllers. Consequently, the proposed decoupling Control scheme incorporates the advantages of both the inverse system method and the Internal Model Control. The effectiveness of the proposed Control scheme is verified by experimental results at various operations.