Modified KP Model for Hysteresis of Magnetic Shape Memory Alloy Actuator

Zhou, Miaolei; He, Shanbo; Hu, Bing; Zhang, Qi

doi:10.1080/02564602.2014.968642

Cited by 40 publications

(19 citation statements)

References 24 publications

(10 reference statements)

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“…Such models typically have a rate-independent hysteretic nature, which is their output variable does not depend on the first derivative of the input one [ 6 , 7 , 8 , 9 ]. Such as Duhem model [ 10 ], Bouc–Wen model [ 11 , 12 ], Prandtl–Ishlinskii (PI) model [ 13 , 14 ], Preisach model [ 15 ], and Krasnoselskii–Pokrovskii (KP) model [ 16 , 17 , 18 ]. The Duhem model and Bouc–Wen model are differential equation-based hysteresis models.…”

Section: Introductionmentioning

confidence: 99%

Rate Dependent Krasnoselskii-Pokrovskii Modeling and Inverse Compensation Control of Piezoceramic Actuated Stages

Nie

Liu

et al. 2020

Sensors

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The piezoceramic actuated stages have rate-dependent hysteresis nonlinearity, which is not simply related to the current and historical input, but also related to the frequency of the input signal, seriously affects its positioning accuracy. Consider the influence of frequency on hysteresis modeling, a rate-dependent hysteresis nonlinearity model that is based on Krasnoselskii–Pokrovskii (KP) operator is proposed in this paper. A hybrid optimization algorithm of improved particle swarm optimization and cuckoo search is employed in order to identify the density function of rate-dependent KP model, avoiding the blind search process caused by the high randomness of Levy’s flight in the cuckoo search algorithm, and improving the parameter identification performance. For the sake of eliminating the hysteresis characteristics, an inverse feed-forward compensation control that is based on recursive method is proposed without any additional conditions, and a feed-forward compensation controller is designed accordingly. The experimental results show that, under different frequency input signals, as compared with the classic KP model, the proposed rate-dependent KP model can accurately describe the rate-dependent hysteresis characteristics of the piezoceramic actuated stages, and the recursive inverse feed-forward compensation control method can effectively mitigate the hysteresis behaviors.

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Section: Introductionmentioning

confidence: 99%

Rate Dependent Krasnoselskii-Pokrovskii Modeling and Inverse Compensation Control of Piezoceramic Actuated Stages

Nie

Liu

et al. 2020

Sensors

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“…There are many models for hysteresis characteristic of PMAs which can be roughly divided into two categories: one includes Preisach model [3], Krasnosel'skii-Pokrovskii (KP) model [4], Prandtl-Ishlinskii (PI) model [5], Maxwell-slip model [6] and its modified version [7]; they are phenomenological operator-based models, which adopt different types of mathematical operators to characterize hysteresis loops. And the other are differential-based hysteresis models, which employ nonlinear differential equations to simulate hysteresis dynamics [8], including Dahl model [9], LuGre model [10], Duhem model [11], Bouc-Wen model [12] and its variation [13].…”

Section: Introductionmentioning

confidence: 99%

Hammerstein model for hysteresis characteristics of pneumatic muscle actuators

Peng

Zuo

et al. 2019

Int J Intell Robot Appl

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As a kind of novel compliant actuators, pneumatic muscle actuators (PMAs) have been recently used in wearable devices for rehabilitation, industrial manufacturing and other fields due to their excellent actuation characteristics such as high power/weight ratio, safety and inherent compliance. However, the strong nonlinearity and asymmetrical hysteresis cause difficulties in implementing accurate trajectory control for robots actuated by PMAs. In this paper, a method for hysteresis modeling of PMA based on Hammerstein model is proposed, which introduces the BP neural network into the hysteretic system. In order to overcome the limitation of BP neural network's single-valued mapping, an extended space input method is adapted while the Modified Prandtl-Ishlinskii model is applied to characterize the hysteretic phenomenon. A conventional PID control is implemented to track the trajectory of PMA with and without the feed-forward hysteresis compensation based on Hammerstein model, and experimental results validate the effectiveness of the designed model which has the advantages of high precision and easy identification.

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“…[1][2][3][4]. Precision motion control using piezo-actuators has been reported to be a promising approach and numerous research works have reported improving its efficiency in recent times [5][6][7][8][9][10][11][12][13]. Al-Wahab et al [14] have presented a methodology for the appropriate selection and creation of mechatronic handling devices, which can be capable of accomplishing certain micro-and/ or nano-operation task using piezo-actuators.…”

Section: Introductionmentioning

confidence: 99%

Adaptive feed-forward controller of piezoelectric actuator for micro/nano-positioning

et al. 2018

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In this paper, design and implementation of an adaptive feed-forward controller for micro/nanopositioning control of piezoelectric actuator (PEA) is described. Discrete-time Dahl hysteresis-based mathematical model of the PEA is developed and the values of the model parameters are estimated through an autoregressive with exogenous terms (ARX) model identification technique using experimental input-output data. A recursive least-square estimator (RLSE)-based adaptive feed-forward (FF) controller is proposed, which takes into account the parameter uncertainty. The FF controller has also been implemented in a DsPIC30F4011 microcontroller. The established PEA model and the controller are validated by simulation and experimental results including parameter variation.

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Modified KP Model for Hysteresis of Magnetic Shape Memory Alloy Actuator

Cited by 40 publications

References 24 publications

Rate Dependent Krasnoselskii-Pokrovskii Modeling and Inverse Compensation Control of Piezoceramic Actuated Stages

Rate Dependent Krasnoselskii-Pokrovskii Modeling and Inverse Compensation Control of Piezoceramic Actuated Stages

Hammerstein model for hysteresis characteristics of pneumatic muscle actuators

Adaptive feed-forward controller of piezoelectric actuator for micro/nano-positioning

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