AI Article Synopsis
- The paper introduces a new control method to address issues like low damping resonance and hysteresis in micropositioning stages powered by Maxwell reluctance actuators.
- A prototype XY compliant micropositioning stage is built to test the proposed control algorithm.
- The control method employs a fractional order proportional-integral feedback controller and an optimized feedforward filter, resulting in improved precision, speed, and resistance to interference in positioning tasks.
Article Abstract
This paper proposes a compound data-driven control method to solve the problems of low damping resonance, different dynamic properties, and hysteresis in the large-range compliant micropositioning stage driven by a Maxwell reluctance actuator. First, in order to verify the proposed control algorithm, a reluctance-actuated, XY compliant micropositioning stage is constructed according to the principle of operation of a reluctance actuator. Second, in order to eliminate the influence of complex dynamics on the controller design, a fractional order proportional-integral feedback controller is designed using a data iterative feedback turning algorithm. Third, the finite impulse response feedforward filter is optimized using experimental data, and the on-line inverse estimation of the system frequency response function and its iterative feedforward compensation are carried out to further eliminate the influence of light damping resonance. Finally, the proposed control method is used for tracking the experiment and compared with other methods. The experimental results show that the proposed control method can better meet the requirements of high precision, fast speed, and strong anti-interference ability for large stroke micro/nanopositioning and tracking.
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| http://dx.doi.org/10.1063/5.0098759 | DOI Listing |
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