Improvement of Transient Response in Signal Transformation Approach by Proper Compensator Initialization

Bazaei, Ali; Moheimani, S. O. Reza; Yong, Yuen Kuan

doi:10.1109/tcst.2013.2261875

Cited by 9 publications

(4 citation statements)

References 28 publications

(35 reference statements)

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“…46,47 In piezoelectric control loops, however, the loop bandwidth is usually limited due to the plant uncertainties, hysteresis nonlinearities, and unmodeled dynamics. 48 In this work, a periodic triangular reference with a fundamental frequency ranging from 5 Hz to 100 Hz was adopted. Figure 8A and 8B show the system response, tracking error, and controller effort for the frequencies 5 Hz and 100 Hz, respectively.…”

Section: Resultsmentioning

confidence: 99%

Enhanced adaptive control for a benchmark piezoelectric‐actuated system via fuzzy approximation

Yousef

Hamdy

Saleem

et al. 2019

Adaptive Control & Signal

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This paper investigates the problem of the high precision tracking control of piezoelectric actuators (PEAs) without using the inverse of the uncertain hysteresis. Based on fuzzy system approximator and particle swarm optimization (PSO) algorithm, a proposed enhanced  adaptive controller is developed. The proposed controller provides fast and robust adaptation simultaneously with guaranteed desired transient performance. Moreover, it has a simple form and requires fewer adaptation parameters. The adaptation gain is determined via PSO algorithm. The proposed controller is tested on a lab-scale PEA system.Experimental results with comparative studies with different techniques have been developed. The simulation results reveal that the proposed controller outperforms the other controllers in terms of normalized root-mean-square and maximum tracking errors for different frequencies.

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Section: Resultsmentioning

confidence: 99%

Enhanced adaptive control for a benchmark piezoelectric‐actuated system via fuzzy approximation

Yousef

Hamdy

Saleem

et al. 2019

Adaptive Control & Signal

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“…In [76], the signal transformation method is implemented to track a triangular reference signal. An alternative solution that leads to a better transient performance in signal transformation called the initialized signal transformation approach (ISTA) is proposed in [87]. A recent solution to this drawback is impulsive state multiplication (ISM) control which is suitable for piece-wise linear (affine) references such as triangular waveforms [85,86].…”

Section: Compensation Of Vibration Effectmentioning

confidence: 99%

“…A recent solution to this drawback is impulsive state multiplication (ISM) control which is suitable for piece‐wise linear (affine) references such as triangular waveforms . An alternative solution that leads to a better transient performance in signal transformation called the initialized signal transformation approach (ISTA) is proposed in .…”

Section: Innovative Solutions Of the Ptsmentioning

confidence: 99%

A Survey of Methods Used to Control Piezoelectric Tube Scanners in High‐Speed AFM Imaging

Rana

Pota

Petersen

2018

Asian Journal of Control

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In most nanotechnology applications, speed and precision are important requirements for obtaining good topographical maps of material surfaces using atomic force microscopes (AFMs), many of which use piezoelectric tube scanners (PTSs) for scanning and positioning at nanometric resolutions. For control engineers, the PTS is particularly interesting since its ability to enable the AFM to undertake 3D imaging is entirely dependent upon the use of a feedback loop. However, it suffers from various intrinsic problems that degrade its positioning performance, such as: (i) lightly damped low-frequency resonant modes due to its mechanical structure; (ii) nonlinear behavior due to hysteresis and creep; (iii) the cross-coupling effect between its axes (in 3D positioning systems such as AFMs); and (iv) effect of thermal drift. This article presents a survey of the literature on the PTS, an overview of a few existing innovative solutions for its nanopositioning and future research directions. This article will help the reader to walk around the present development of the PTS aimed at meeting the requirements for high-speed AFM imaging.

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“…A recent solution to this drawback is impulsive state multiplication (ISM) control which is suitable for piece-wise linear (affine) references such as triangular waveforms [71]. An alternative solution that leads to a better transient performance in signal transformation called the initialized signal transformation approach (ISTA) is proposed in [72].…”

Section: ) Compensation Of Vibration Effectmentioning

confidence: 99%

Improvement in the Imaging Performance of Atomic Force Microscopy: A Survey

Rana

Pota

Petersen

2017

IEEE Trans. Automat. Sci. Eng.

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Nanotechnology is the branch of science which deals with the manipulation of matters at an extremely high resolution down to the atomic level. In recent years atomic force microscopy (AFM) has proven to be extremely versatile as an investigative tool in this field. The imaging performance of AFMs is hindered by: (i) the complex behavior of piezo materials, such as vibrations due to the lightly damped low-frequency resonant modes, inherent hysteresis and creep nonlinearities; (ii) the crosscoupling effect caused by the piezoelectric tube scanner (PTS); (iii) the limited bandwidth of the probe; (iv) the limitations of the conventional raster scanning method using a triangular reference signal; (v) the limited bandwidth of the proportionalintegral (PI) controllers used in AFMs; (vi) the offset, noise, and limited sensitivity of position sensors and photodetector; and(vii) limited sampling rate of AFM's measurement unit. Due to these limitations, an AFM has a high spatial but low temporal resolution, i.e., its imaging is slow, e.g., an image frame of a living cell takes up to 120 s, which means that rapid biological processes that occur in seconds cannot be studied using commercially available AFMs. There is a need, to perform fast scans using an AFM with nanoscale accuracy. This paper presents a survey of the literature, presents an overview of a few emerging innovative solutions in AFM imaging, and finally proposes future research directions. Note to Practitioners→ An atomic force microscope (AFM)is a scientific instrument capable of investigating, controlling, and manipulating matter on a nanoscale. It is a fundamental part of research in the field of nanotechnology because of its capability to obtain 3D images of specimens in the areas of life sciences and materials science. However, the imaging performances of currently available AFMs are restricted by some limitations which, during the last two decades, several works have attempted to overcome in order to meet present demands. This article presents an overview of developments in AFM imaging, emphasizing the key roles of: the modeling, control techniques, and mechanical structural designs of an AFM's piezoelectric tube scanner (PTS) and probe; different scanning methods; and sensor noise compensation techniques.

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Improvement of Transient Response in Signal Transformation Approach by Proper Compensator Initialization

Cited by 9 publications

References 28 publications

Enhanced adaptive control for a benchmark piezoelectric‐actuated system via fuzzy approximation

Enhanced adaptive control for a benchmark piezoelectric‐actuated system via fuzzy approximation

A Survey of Methods Used to Control Piezoelectric Tube Scanners in High‐Speed AFM Imaging

Improvement in the Imaging Performance of Atomic Force Microscopy: A Survey

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