Modeling of piezoelectric actuator for compensation and controller design

Tzen, Jonq Jer; Jeng, Shyr-Long; Chieng, Wei-Hua

doi:10.1016/s0141-6359(02)00183-6

Cited by 90 publications

(54 citation statements)

References 11 publications

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“…2, No. 5,2008 sliding-mode feedback controller, quantity e(t) will be used to determine the control efforts of the present step. Eq.…”

Section: Journal Of System Design and Dynamicsmentioning

confidence: 99%

“…Nonetheless, piezoelectric actuators also exhibit undesired hysteretic behaviors which limit tracking performance of the PEA-actuated system. As such, recently, many control techniques involving feedback and feedforward-feedback features have been proposed to remove the hysteresis-caused tracking error (1)(2)(3)(4)(5)(6)(7)(8) . Among these attempts, it is found that usually, the feedback control techniques do not utilize a precise hysteresis model.…”

Section: Introductionmentioning

confidence: 99%

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Learning-Enhanced PI and Fuzzy-Sliding-Mode Tracking of a Piezo-Actuated System

Chen

Liang

Chiang

2008

JSDD

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In this study, simple PI and fuzzy-sliding-mode controllers incorporating a memory-based learning control scheme are proposed to resolve tracking problem of a piezo-actuated system. Unlike traditional model-based approaches, which require precise inverse model in order to cancel out undesirable hysteresis effects, the methods proposed here are model-free. The proposed schemes are denoted as the learning-enhanced fuzzy sliding-mode control (LEFSMC) and learning-enhanced PI control (LEPIC) because a memory-based predictor is adopted to compensate for the hysteresis-induced tracking error. The learning scheme predicts the tracking error of the present cycle based on the knowledge of the previous tracking errors. The predicted tracking error is then used to update the control action and to serve as a learning enhancement to the traditional PI and fuzzy sliding-mode controller (FSMC). Experimental investigations focusing on different types of reference inputs show that the proposed control schemes may suppress the tracking error to within 5% full span range (FSR) of the actuator by using the LEFSMC and to within 6% FSR using the LEPIC.

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“…2, No. 5,2008 sliding-mode feedback controller, quantity e(t) will be used to determine the control efforts of the present step. Eq.…”

Section: Journal Of System Design and Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Learning-Enhanced PI and Fuzzy-Sliding-Mode Tracking of a Piezo-Actuated System

Chen

Liang

Chiang

2008

JSDD

View full text Add to dashboard Cite

show abstract

“…Hysteresis yields a rateindependent lag and residual displacement near zero input, significantly reducing the precision of the actuators [8]. Another undesired characteristic of piezoelectric actuators is the "creep effect" [7].…”

Section: Introductionmentioning

confidence: 99%

“…Despite that fact many attempts to drive the piezoelectric actuator as open loop system with compensation of the nonlinearities are investigated [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Analog sliding mode controller for position tracking of piezoelectric actuators

Yannier

Şabanoviç

2007

2007 Mediterranean Conference on Control &Amp; Automation

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Abstract-In this work, analog application for the sliding mode control (SMC) of piezoelectric actuators is presented. DSP application of the algorithm suffers from ADC and DAC conversions and faces speed limitations. Moreover, piezoelectric actuators are known to have very large bandwidth close to the DSP operation frequency. Therefore, with the direct analog application, improvement of the performance is expected and high frequency operation will be achieved. First an appropriate SMC is designed to have continuous control output and then experimental results for position tracking using DSP and analog application are presented for comparison.

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“…Therefore, one of the critical challenges for high-precision positioning/tracking control is to break through the bottleneck of the complicated hysteretic nonlinearities of PEAs in order to acquire improved performance. A customary way is to build satisfactory model to describe the behavior of PEA and use inverse compensation to approximately linearize its response [5] . Hysteresis has been studied for decades, and various models have been proposed to efficiently capture the hysteretic characteristics [6] .…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Control of a Piezoelectric Actuator with Neural Network Compensating Rate-Dependent Hysteresis

Alici

Shirinzadeh

et al.

Proceedings of the 2005 IEEE International Conference on Robotics and Automation

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-Piezoelectric actuators (PEA) are the fundamental elements for high-precision high-speed positioning/tracking task in many nanotechnology applications. However, the intrinsic hysteresis observed in PEAs has impaired their potential, specially, the motion accuracy. In this paper, the complicated nonlinear dynamics of PEA including hysteresis, creep, drift and time-delay etc. are treated as a black-box system exhibited as rate-dependent hysteresis. The multi-valued hysteresis is analyzed as a single-valued function so that a neural network (NN) can be built to model the hysteresis and its inversion. A sliding mode controller (SMC) augmented with inverse hysteresis model is then developed to compensate the hysteretic behavior, modeling error and disturbance to improve the positioning/tracking stability and accuracy. The effectiveness of this algorithm experimentally verified through the actual tracking control of a PEA.

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Modeling of piezoelectric actuator for compensation and controller design

Cited by 90 publications

References 11 publications

Learning-Enhanced PI and Fuzzy-Sliding-Mode Tracking of a Piezo-Actuated System

Learning-Enhanced PI and Fuzzy-Sliding-Mode Tracking of a Piezo-Actuated System

Analog sliding mode controller for position tracking of piezoelectric actuators

Sliding Mode Control of a Piezoelectric Actuator with Neural Network Compensating Rate-Dependent Hysteresis

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