Qing Bin Yang

ORCID: 0000-0002-9102-888X
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Research Areas
  • Textile materials and evaluations
  • Iterative Learning Control Systems
  • Adaptive Control of Nonlinear Systems
  • Sensorless Control of Electric Motors
  • Natural Fiber Reinforced Composites
  • Electrospun Nanofibers in Biomedical Applications
  • biodegradable polymer synthesis and properties
  • Structural Analysis and Optimization
  • Mechanical Engineering and Vibrations Research
  • Epoxy Resin Curing Processes
  • Silicone and Siloxane Chemistry
  • Fiber-reinforced polymer composites
  • Teleoperation and Haptic Systems
  • Soft Robotics and Applications
  • Mechanical Behavior of Composites
  • Ergonomics and Musculoskeletal Disorders
  • Food composition and properties
  • ATP Synthase and ATPases Research
  • Control and Stability of Dynamical Systems
  • Advanced Algorithms and Applications
  • Geotechnical Engineering and Soil Mechanics
  • Frequency Control in Power Systems
  • Thermal Analysis in Power Transmission
  • Pulsed Power Technology Applications
  • Advanced Control Systems Design

Qingdao University
2009-2025

Zhejiang Normal University
2022

Shanghai Electric (China)
2018

Dalian Minzu University
2011

Northwest A&F University
2011

Beijing Institute of Fashion Technology
2011

State Key Laboratory for Modification of Chemical Fibers and Polymer Materials
2007

To solve the problems of low accuracy and poor stability due to modeling error, external disturbance unknown load, which exist in position servo control permanent magnet synchronous motor (PMSM) driven joint robot, this article is propose radial basis function (RBF) neural networks dynamic surface strategy with Sage-Husa adaptive Kalman filter load torque observer. For PMSM observer established by using Sage-Huga filter. The RBF network controller designed online approximation capability...

10.1049/cth2.12297 article EN cc-by-nc IET Control Theory and Applications 2022-05-14

Abstract A cooperative control strategy is designed to achieve fast dynamicand accurate steady-state performances for a class of overdamping uncertainnonlinear systems. The combines the advantages sliding mode (SMC) based on neural network minimum parameter learning (NNMPL) and integral error port-controlled Hamiltonian (EPH) methods. Firstly, theNNMPL-SMC uses radial basis function (NN) estimatethe unknown system, learningmethod used instead NN weights design SMC adaptive law, simplifiedthe...

10.21203/rs.3.rs-4235231/v1 preprint EN cc-by Research Square (Research Square) 2024-04-19

Cement emulsified asphalt composite binder (CEACB) plays a determining role in the construction of cold recycled pavements. Understanding interaction behaviors cement-emulsified is very essential to promote serviceability CEACB. The objective this study was explore and mechanism associated with microstructural characteristics assess ability by performing macro-rheological measurements. Firstly, physico-chemical qualitatively discussed analyzing difference characteristic peaks based on...

10.3390/ma15031070 article EN Materials 2022-01-29

Abstract Polyglycolic acid (PGA) fibers were prepared by melt‐spinning process in this report. The effects of spinning parameters, such as windup rates and drawn ratio, on the mechanical properties discussed analyzing internal stress as‐spun fibers, axial sound velocity, fiber tenacity, etc. results showed that rate had a slight effect macromolecular orientation degree which was quite unusual for melt spinning, whereas, subsequent drawing effectively increased PGA consequently tensile...

10.1002/app.26392 article EN Journal of Applied Polymer Science 2007-05-30

The PLA fibers are processed under heat treatment. change of the strength, initial modulus and work with temperature time analyzed. results indicate that has remarkable effect to mechanical properties when is higher than 130°C effects very serious it exceeds 20 minutes.

10.4028/www.scientific.net/amr.321.184 article EN Advanced materials research 2011-08-01

10.4156/jcit.vol7.issue23.1 article EN Journal of Convergence Information Technology 2012-12-28

Abstract To improve the disadvantages of signal control and energy control, a cooperative strategy combining is proposed for manipulators driven by permanent magnet synchronous motors (PMSMs) in this article. The achieved way convex combination controller controller, Gaussian function selected as function. applies variable damping error port Hamiltonian uses backstepping nonsingular terminal sliding mode control. PMSM with loss model applied to obtain higher efficiency. deal modeling errors...

10.1002/rnc.7496 article EN International Journal of Robust and Nonlinear Control 2024-06-17

In order to understand the influence of blended ratio soybean protein fibers properties fabrics, five fiber/modal fabrics are knitted and tested. By analysis results, relationship between obtained. With increase fibers, tensile strength elongation tearing bursting fabric decrease. softness increases bending length, abrasion resistance

10.4028/www.scientific.net/amr.322.444 article EN Advanced materials research 2011-08-01

In order to describe the relation between elasticity and blended ratio of PLA fiber yarn, different kinds PLA/Modal PLA/cotton yarn was measured. The is determined. optimum analyzed.

10.4028/www.scientific.net/amr.496.463 article EN Advanced materials research 2012-03-27

In order to analysis the relationship between strength and elongation blended ratio of SPF-PVA/polyester yarn, yarn with different were measured compared simple model. The results indicated that tendency is agreeable model, however experimental are higher than

10.4028/www.scientific.net/amr.322.279 article EN Advanced materials research 2011-08-01

The soybean protein fibers are processed under heat treatment. change of the strength, initial modulus and work with temperature time analyzed. results indicate that has remarkable effect to mechanical properties when is higher than 110°C effects very serious it reached 20 minutes.

10.4028/www.scientific.net/amr.194-196.2396 article EN Advanced materials research 2011-02-21

In order to analysis the relationship between strength and elongation blended ratio of SPF/Cotton yarn, SPF /cotton yarn with different were measured compared simple model. The results indicated that For SPF/cotton difference experimental data model value is remarkable because high cohesion cotton fibers.

10.4028/www.scientific.net/amr.321.192 article EN Advanced materials research 2011-08-01

To research basic property of milk protein fibre, fiber and wool were tested analysed. Through analysing contrasting each it is considered that in dry state the strength close to soybean bigger than wool, dynamic static friction coefficient fiber. Crimpability worse wool.

10.4028/www.scientific.net/amr.496.431 article EN Advanced materials research 2012-03-27

The PLA fiber is one of the green fibers. It blended with Tencel strength fiber/Tencel yarn tested. relationship between and twist factor ratio analyzed. optimum critical determined.

10.4028/www.scientific.net/amr.460.271 article EN Advanced materials research 2012-02-01

Abstract In order to describe the relation between elasticity and blended ratio of soybean protein fiber yarn, different kinds fiber/polyester fiber/cotton yarn was measured. The is determined. optimum analyzed.

10.4028/www.scientific.net/amr.322.275 article EN Advanced materials research 2011-08-01

In order to understand the basic performances of bamboo yarns, tensile strength, abrasion resistance and hairiness yarns are analyzed through comparison cotton ramie yarns. Bamboo show a higher lower breaking elongation, better abrasive an obvious hairiness. Because existence uneven fineness, strength display level unevenness than After moisture absorption, initial modulus work break will increase remarkably.

10.4028/www.scientific.net/amr.332-334.45 article EN Advanced materials research 2011-09-01
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