Comparison of control strategies for hysteresis attenuation in electromechanical actuators subject to dispersion

Louis, Amigues; Pommier-Budinger, Valérie; Bordeneuve-Guibé, Joël

doi:10.1016/j.conengprac.2022.105348

Cited by 2 publications

(2 citation statements)

References 57 publications

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“…The decoupling identification approach for the proposed model consists of the following two steps, as summarized in Figure 14. First step: Identification of the linear dynamic model (8). In order to capture the high-frequency content of the FPDS, the generation period of the PRBS signal is set to 1 ms.…”

Section: Parameter Identificationmentioning

confidence: 99%

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Hysteresis Modeling and Compensation for a Fast Piezo-Driven Scanner in the UAV Image Stabilization System

Wang

et al. 2023

Drones

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The fast piezo-driven scanner (FPDS) compensates for vibrations in the unmanned aerial vehicle (UAV) image stabilization system. However, the hysteresis nonlinearity reduces the positioning accuracy of the FPDS. To address this challenge, this paper presents a novel weighted polynomial modified Bouc–Wen (WPMBW) model cascaded with a linear dynamic model to describe counterclockwise, asymmetric, and rate-dependent hysteresis loops of an FPDS. The proposed approach utilizes the weighted polynomial function to describe the asymmetric characteristic and the linear dynamic model to capture the rate-dependent behavior. By modifying the last two terms in the classical Bouc–Wen (CBW) model, the modified BW model directly characterizes the counterclockwise hysteresis loops with fewer parameters, circumventing the algebraic-loop problem that arises in the inverse CBW model. The pseudorandom binary sequence (PRBS) input is employed to decouple the linear dynamic model from the WPMBW model. The sinusoidal input is then applied to stimulate the hysteresis phenomenon, and the parameters of the WPMBW model are estimated by the particle swarm optimization (PSO) toolbox. Experimental results on a commercial FPDS show that the proposed model is superior to the CBW and traditional asymmetric BW models in modeling accuracy and feedforward hysteresis compensation.

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Section: Parameter Identificationmentioning

confidence: 99%

“…Several compensation algorithms have been explored to mitigate the hysteresis phenomenon of an FPDS, which can be categorized into two primary groups: hysteresis model-free and hysteresis model-based approaches [8]. Concerning the hysteresis modelfree strategy, the hysteresis is regarded as a bounded disturbance to the nominal system [9].…”

Section: Introductionmentioning

confidence: 99%

Hysteresis Modeling and Compensation for a Fast Piezo-Driven Scanner in the UAV Image Stabilization System

Wang

et al. 2023

Drones

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Hysteresis modeling and compensation of a piezoelectric fast steering platform using multiple NARMA-L2 models

Lu,

Wang,

et al. 2023

Control Engineering Practice

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Comparison of control strategies for hysteresis attenuation in electromechanical actuators subject to dispersion

Cited by 2 publications

References 57 publications

Hysteresis Modeling and Compensation for a Fast Piezo-Driven Scanner in the UAV Image Stabilization System

Hysteresis Modeling and Compensation for a Fast Piezo-Driven Scanner in the UAV Image Stabilization System

Hysteresis modeling and compensation of a piezoelectric fast steering platform using multiple NARMA-L2 models

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