Precision control of piezoelectric actuator using fuzzy feedback control with inverse hysteresis compensation

Chi, Ziqiang; Xu, Qingsong

doi:10.1109/nems.2015.7147414

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…The method of feedforward control collects information through a pre-experiment, observes the law to estimate the trend, and applies pre-control methods in front of the system to correct the compensation result. It is one of the commonly used compensation control methods in control engineering [31][32][33].…”

Section: Compensation Theory and Inverse Slpi Modelmentioning

confidence: 99%

Compensation method for complex hysteresis characteristics on piezoelectric actuator based on Separated Level-loop Prandtl–Ishlinskii model

Yang

et al. 2021

Preprint

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Piezoelectric ceramic actuators exhibit nonlinear hysteresis characteristics owing to their material properties. To modify the inverse piezoelectric effect as an ideal linear execution, the classical Prandtl–Ishlinskii (PI) model is usually used for compensation by feedforward control. The PI model compensates well on simple hysteresis characteristics. However, when the output requirements are complex, the PI model demonstrates uneven compensation accuracy on the complex hysteresis characteristics and cannot achieve an accuracy similar to that of simple hysteresis. This paper proposes a simplification of complex hysteresis: Separated Level-loop PI (SLPI) model. First, we use a loop-separation logic algorithm to simplify the complex hysteresis characteristics to obtain hysteresis in the form of single loops with loop levels and vertexes. Second, the hysteresis characteristics of each loop are independently modeled using the PI model. Finally, the inverse model is reconstructed using a rollback method to restore a positive sequence of the feedforward voltage; then, the feedforward voltage is input as a compensation value to achieve higher and more uniform accuracy. Experiments and discussions show that the SLPI model can effectively improve the compensation results of complex hysteresis characteristics; moreover, the average compensation accuracy difference between single hysteresis loops was reduced.

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Section: Compensation Theory and Inverse Slpi Modelmentioning

confidence: 99%

Compensation method for complex hysteresis characteristics on piezoelectric actuator based on Separated Level-loop Prandtl–Ishlinskii model

Yang

et al. 2021

Preprint

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show abstract

“…The effect is widely used in micro/nanofabrication, nanopositioning, high-speed electric spindles, atomic force microscopy, scanning tunneling microscopy, piezoelectric deformation mirrors, and other precision mechanical engineering fields [3][4][5][6][7][8]. However, the nonlinear output caused by the inherent properties of the piezoelectric material can affect the accuracy of the nanopositioning stage, requiring the effective compensation and control of the piezoelectric actuator [9,10]. The hysteresis characteristic is the most important factor contributing to the nonlinear characteristics [11,12].…”

Section: Introductionmentioning

confidence: 99%

Compensation Method for the Nonlinear Characteristics with Starting Error of a Piezoelectric Actuator in Open-Loop Controls Based on the DSPI Model

et al. 2023

Micromachines

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Nanopositioning stages with piezoelectric actuators have been widely used in fields such as precision mechanical engineering, but the nonlinear start-up accuracy problem under open-loop control has still not been solved, and more errors will accumulate, especially under open-loop control. This paper first analyzes the causes of the starting errors from both the physical properties of materials and voltages: the starting errors are affected by the material properties of piezoelectric ceramics, and the magnitude of the voltage determines the magnitude of the starting errors. Then, this paper adopts an image-only model of the data separated by a Prandtl-Ishlinskii model (DSPI) based on the classical Prandtl-Ishlinskii model (CPI), which can improve the positioning accuracy of the nanopositioning platform after separating the data based on the start-up error characteristics. This model can improve the positioning accuracy of the nanopositioning platform while solving the problem of nonlinear start-up errors under open-loop control. Finally, the DSPI inverse model is used for the feedforward compensation control of the platform, and the experimental results show that the DSPI model can solve the nonlinear start-up error problem existing under open-loop control. The DSPI model not only has higher modeling accuracy than the CPI model but also has better performance in terms of compensation results. The DSPI model improves the localization accuracy by 99.427% compared to the CPI model. When compared with another improved model, the localization accuracy is improved by 92.763%.

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“…Recent studies highlighted 4 main characteristics of an actuator: (i) Low cost of construction; (ii) A basic geometrical design; (iii) A high value of the generated torque and; (iv) A higher precision motion [3][4][5][6]. Currently, many actuators display a precision motion [7][8][9][10][11][12]. The piezoelectric and the electrostatic actuators were seen to be common linear motion actuators, which displayed a shorter working range [13].…”

Section: Introductionmentioning

confidence: 99%

Motion Characterization of a Switched Reluctance Actuator – A Signal Driven Approach

2021

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In this paper, the researchers have described the development, design and characterization of a Switched Reluctance (SR) actuator, with a rotary motion, having a single-excitation activity. This SR actuator design consisted of a stator and rotor core and was based on the simplest SR actuator model design, with a Stator-to-Rotor pole ratio (S: R) of 6:4. In this design, the winding was coiled at Phase A, which enabled the single step motion characterization based on a single excitation. This SR actuator prototype showed a compact size, with a 36 mm stack length and a 60 mm outer diameter. This feature allowed small machine applications like the precision robotic machining, but required a low production cost, as it lacked a permanent magnet. On the other hand, the SR actuator consisted of highly non-linear characteristics and showed uncontrolled motion behavior. While achieving a very precise motion, it is important to suppress the non-linear characteristics of an actuator. Hence, the researchers designed the linearizer unit based on its characterization at Position 0°, which was related to the excitation current and the rotary angles for the various initial rotor positions. This initial position was chosen as it reflected the characteristics which indicated the self-starting characteristics. Thereafter, the researchers experimentally investigated the appropriate driving signal for this SR actuator as the normal step input signal showed a lower precision motion because of the discharging effect-related issues.

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Precision control of piezoelectric actuator using fuzzy feedback control with inverse hysteresis compensation

Cited by 8 publications

References 7 publications

Compensation method for complex hysteresis characteristics on piezoelectric actuator based on Separated Level-loop Prandtl–Ishlinskii model

Compensation method for complex hysteresis characteristics on piezoelectric actuator based on Separated Level-loop Prandtl–Ishlinskii model

Compensation Method for the Nonlinear Characteristics with Starting Error of a Piezoelectric Actuator in Open-Loop Controls Based on the DSPI Model

Motion Characterization of a Switched Reluctance Actuator – A Signal Driven Approach

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