Design and Implementation of Intelligent PID Control System of High-efficiency Comber

Xiao-bei, Wang; Wang, Haibo

doi:10.1016/j.proeng.2011.11.2656

Procedia Engineering

2011

DOI: 10.1016/j.proeng.2011.11.2656

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Design and Implementation of Intelligent PID Control System of High-efficiency Comber

Wang Xiao-bei¹,

Haibo Wang²

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Development of Autonomous Boat‐Type Robot for Automated Velocity Measurement in Straight Natural River

Sanjou

Nagasaka

2017

Water Resources Research

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The present study describes an automated system to measure the river flow velocity. A combination of the camera‐tracking system and the Proportional/Integral/Derivative (PID) control could enable the boat‐type robot to remain in position against the mainstream; this results in reasonable evaluation of the mean velocity by a duty ratio which corresponds to rotation speed of the screw propeller. A laser range finder module was installed to measure the local water depth. Reliable laboratory experiments with the prototype boat robot and electromagnetic velocimetry were conducted to obtain a calibration curve that connects the duty ratio and mean current velocity. The remaining accuracy in the target point was also examined quantitatively. The fluctuation in the spanwise direction is within half of the robot length. It was therefore found that the robot remains well within the target region. We used two‐dimensional navigation tests to guarantee that the prototype moved smoothly to the target points and successfully measured the streamwise velocity profiles across the mainstream. Moreover, the present robot was found to move successfully not only in the laboratory flume but also in a small natural river. The robot could move smoothly from the starting point near the operator's site toward the target point where the velocity is measured, and it could evaluate the cross‐sectional discharge.

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Development of Autonomous Boat‐Type Robot for Automated Velocity Measurement in Straight Natural River

Sanjou

Nagasaka

2017

Water Resources Research

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Portable unmanned surface vehicle that automatically measures flow velocity and direction in rivers

Sanjou

Shigeta

Kato

et al. 2021

Flow Measurement and Instrumentation

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Model-free adaptive PID control for nonlinear discrete-time systems

Zhang

Chi

2020

Transactions of the Institute of Measurement and Control

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This work explores a model-free adaptive PID (MFA-PID) control for nonlinear discrete-time systems with rigorous mathematical analysis under a data-driven framework. An improved compact form dynamic linearization (iCFDL) is proposed to transfer the original nonlinear system into an affined linear data model including a nonlinear residual term. Both a time-difference estimator and a gradient parameter estimator are designed to estimate the nonlinear residual uncertainties and the unknown parameters in the iCFDL model. Subsequently, a novel improved CFDL based MFA-PID (iCFDL-MFA-PID) control is proposed by incorporating these two estimators. The results are extended by the use of improved partial format dynamic linearization (iPFDL) and full format dynamic linearization (iFFDL). The theoretical results are shown using contraction mapping principle-based mathematical analysis, as well as simulations.

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Design and Implementation of Intelligent PID Control System of High-efficiency Comber

Cited by 5 publications

References 0 publications

Development of Autonomous Boat‐Type Robot for Automated Velocity Measurement in Straight Natural River

Development of Autonomous Boat‐Type Robot for Automated Velocity Measurement in Straight Natural River

Portable unmanned surface vehicle that automatically measures flow velocity and direction in rivers

Model-free adaptive PID control for nonlinear discrete-time systems

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