Longhuan Yu

ORCID: 0000-0001-6105-7498
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About
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Research Areas
  • Piezoelectric Actuators and Control
  • Aeroelasticity and Vibration Control
  • Iterative Learning Control Systems
  • Force Microscopy Techniques and Applications
  • Optical measurement and interference techniques
  • Image Processing Techniques and Applications
  • Advanced MEMS and NEMS Technologies
  • Advanced Image and Video Retrieval Techniques
  • Augmented Reality Applications
  • Dynamics and Control of Mechanical Systems
  • Robotics and Sensor-Based Localization
  • Robotic Mechanisms and Dynamics
  • Topology Optimization in Engineering
  • Integrated Circuits and Semiconductor Failure Analysis

South China University of Technology
2020-2023

National University of Singapore
2015

The development of automation at the nanoscale has been calling for precision motion sensing robotic nanopositioners. This study presents a microvision-based measurement system accurate and efficient three-degree-of-freedom (DOF) In this system, an optimized target searching (OTS) scheme is proposed automatic tracking selection. A strategy designed to combine feature matching with phase correlation balance accuracy efficiency. By proposing multiple scheme, high-precision angular achieved,...

10.1109/tim.2023.3234038 article EN IEEE Transactions on Instrumentation and Measurement 2023-01-01

The self-excited vibration of flexible planar 3-RRR parallel manipulators is converted from the residual after high-speed motion and a resonance strongly coupled nonlinear electromechanical system. This makes active control quite challenging task. In this study, we attempt to adopt radial basis function neural network algorithm based on acceleration feedback for suppressing guarantee its position accuracy. stability controlled system proved by Lyapunov concept. Self-excited experiments are...

10.1177/1077546320977400 article EN Journal of Vibration and Control 2020-12-18

Position sensing is essential to testify the validity of mechanical design and verify performance in micromanipulation. A practical system for non-contact micro-motion measurement compliant nanopositioning stages micromanipulators proposed using computer micro-vision. The method integrates optical microscopy an flow-based technique, which motions complaint mechanisms are precisely detected measured. Simulations carried out validate robustness method, while micro-vision a laser interferometer...

10.1364/oe.415097 article EN cc-by Optics Express 2021-01-14

Atomic force microscopy (AFM) generally scans the sample surface following a raster pattern signal, which contains discontinuities at turning points and frequencies beyond mechanical bandwidth of scanning stage. Consequently, high speed brings distortions to resulting image. This paper describes non-raster method based on Cassini oval pattern. In this method, by adopting pattern, input control signals two axes scanner are replaced sinusoid-like smooth signals, thereby reducing harmonic...

10.1109/wcmeim56910.2022.10021465 article EN 2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) 2022-11-18

To deal with the challenges that classical Bouc–Wen model fails to precisely characterize amplitude-dependent hysteresis and asymmetric hysteresis, an improved variable parameters is presented. The proposed introduces terms parameter functions related sinusoidal excitation amplitudes into model. It has a relatively simple mathematic form can be easily identified applied for inverse feedforward compensation in real-time applications. By comparison other existing models, superiority of been...

10.1063/5.0151428 article EN cc-by AIP Advances 2023-05-01

Precision positioning systems are essential for micro-nano scale technology, requiring compactness, large stroke, high accuracy, and motion decoupling in nanopositioning stages fast precise positioning. This paper presents a novel piezo-driven XYZ series-type compliant stage, along with its control method. The mechanical design of the stage is briefly described. Based on hysteresis model transfer function system, method employing Bouc-Wen inverse feedforward controller combined closed-loop...

10.1109/iciea58696.2023.10241819 article EN 2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA) 2023-08-18
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