2021
DOI: 10.1177/00202940211000075
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Active disturbance rejection control for a piezoelectric nano-positioning system: A U-model approach

Abstract: Both speed and accuracy are key issues in nano-positioning. However, hysteresis existing in piezoelectric actuators severely reduces the positioning speed and accuracy. In order to address the hysteresis, a U-model based active disturbance rejection control is proposed. Based on the linear active disturbance rejection control, a controlled plant is dynamically transformed to be pure integrators. Then, according to the U-model control, a common inversion is obtained and the controlled plant is converted to be “… Show more

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Cited by 8 publications
(4 citation statements)
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References 31 publications
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“…e combined controller is composed of a U-model controller, a sliding mode controller with a variable boundary layer, and a DDPG network. ( If s' is terminal, reset environment state (8) if it is time to update then (9) for the number of updates do (10) Randomly sample a batch of transitions, B � (s, a, r, s', d) from D (11) Compute targets y(r, s′, d…”
Section: Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…e combined controller is composed of a U-model controller, a sliding mode controller with a variable boundary layer, and a DDPG network. ( If s' is terminal, reset environment state (8) if it is time to update then (9) for the number of updates do (10) Randomly sample a batch of transitions, B � (s, a, r, s', d) from D (11) Compute targets y(r, s′, d…”
Section: Controller Designmentioning
confidence: 99%
“…For examples, a U-model-based adaptive neural network [5], a U-model-based predictive control [6], a U-model-based fuzzy PID control [7], etc. However, the conventional U-controller has some drawbacks [8]. Firstly, it does not take into account disturbances and uncertainties.…”
Section: Introductionmentioning
confidence: 99%
“…Due to fast response, high power density and reliability, PMSM is widely available for servo systems [1][2]. In the vector control of PMSM, the mechanical sensors installed at the shaft are susceptible to environmental influences, which will decrease the operational fixity of the entire system and add to the cost of the motor.…”
Section: Introductionmentioning
confidence: 99%
“…[11], an adaptive mechanism was introduced to address uncertainties. Methods based on a disturbance observer also received a lot of attention, such as the time delay estimation [12], disturbance observer [13] and extended state observer (ESO) [14].…”
Section: Introductionmentioning
confidence: 99%