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Conical tank level control using fractional order PID controllers： a simulated and experimental study

control Theory and Technology 2016年第4期14卷 369-384页

作者： Cristian JAUREGUI Manuel A. DUARTE-MERMOUD Rodrigo OROSTICA Juan Carlos TRAVIESO-TORRES Orlando BEYTIA Electrical Engineering Department and Advanced Mining Technology Center Universidad de Chile Av. Tupper 2007 Casilla 412-3 Santiago Chile Industrial Technologies Department Technological Faculty Universidad de Santiago de Chile Av. El Belloto 3735 Santiago Chile

In this paper, simulated and experimental results on the conical tank level control are presented. PI/PID controllers of integer order （IO） as well as of fractional order （FO） are studied and compared. The tuning parameters are obtained first by using root locus （RL） and Ziegler and Nichols methods, for comparison purposes. Next, particle swarm optimization （PSO） is employed to determine the optimal controllers＇ parameters using as fitness function the integral of the absolute value of tracking error （IAE）. From the experimental results it is concluded that PI/FOPI are the controllers presenting the lowest IAE indexes, whereas PID/FOPID controllers present the lowest energy consumption by the control signal.

关键词： level control conical tank PID control fractional PID control experimental control

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Improved RMPC Based on Piece-wised Uncertain Model for UTSG Water level control

Improved RMPC Based on Piece-wised Uncertain Model for UTSG ...

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第25届中国控制与决策会议

作者： Fuhe Wang Xiangjie Liu School of control and Computer Engineering North China Electric Power University

ISBN: (纸本)9781467355322

More and more attention has been drawn to hunt for better control method of the nuclear steam generator (SG) water level because poor control can lead to frequent reactor shut downs and serious accidents even. Moreover, as power level changing, the dynamic of a nuclear steam generator is also varying. In this paper, we develop an improved robust MPC based on piece-wised LPV model with polytopic uncertainty. The optimization problem adopted here is min-max strategy based on the linear matrix inequality (LMI) technique. In order to improve the dynamic of the water level, we introduce the idea of soft constraints. Finally, we show the effectiveness of the proposed control method by simulation.

关键词： Robust model predictive control U-tube steam generator level control Linear matrix inequality

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Non-Linear Tank level control for Industrial Applications

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Applied Mathematics 2020年第9期11卷 876-889页

作者： Michael Short A. Arockia Selvakumar School of Computing Engineering and Digital Technologies Teesside University Middlesbrough UK Design and Automation Research group School of Mechanical and Building Sciences Vellore Institute of Technology Chennai Tamil Nadu India

Tank level control is ubiquitous in industry. The focus of this paper is on accurate liquid level control in single tank systems which can be actuated continuously and modulation of the level setpoint is also required, for example in cascade control loops or supervisory Model Predictive control (MPC) applications. To avoid common problems encountered when using fixed gain or adaptive/gain scheduled schemes, an accurate technique based around feedback linearization and Proportional Integral (PI) control is introduced. This simple controller can maintain linear performance over the full operating range of a uniform tank. As will be demonstrated, the implementation overhead compared to a regular PI controller is negligible, making it ideal for industrial implementation. Implementation details and parameter identification for adaptive implementation are discussed. Simulations coupled with experimental results using a large-scale laboratory level control system using commercial industrial control equipment validate the approach, and illustrate its effectiveness for both level tracking and disturbance rejection.

关键词： level control Non-Linear control Feedback Linearization

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Simulation and analysis of a Truck Model’s ride comfort based on fuzzy adaptive control theory

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Journal of Harbin Institute of Technology(New Series) 2007年第1期14卷 33-35页

作者：姜立标王登峰倪强谭维明 College of Automotive Engineering Jilin University Dept. of Automotive Engineering Harbin Institute of Technology at Weihai

This paper tried to analyse and verify the fuzzy adaptive control strategy of electronic control air suspension system for heavy truck. Created the seven-freedoms vehicle suspension model, and the road input model; with Matlab/Simulink toolboxes and modules, built dynamical system simulation model for heavy truck with air suspension, fuzzy adaptive control model, height control model for air spring, and intelligent control and analyse on root mean square value of acceleration of gravity center of the vehicle under excitation of road. Results show that the fuzzy control had less help to the body vibration on the better pavement, but had the better benefit on the bad road, and the vehicle’s root mean square value of acceleration of gravity center is less than passive suspension’s obviously.

关键词： Jelectronic control air suspension self-adaptive fuzzy control fide comfort level control

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Strategy for controlling the level in a Dissolved Air Flotation Chamber

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Journal of Chemistry and Chemical Engineering 2015年第5期9卷 344-352页

作者： Rodrigo Almeida Galdino Alex Elton de Moura Valdemir Alexandre dos Santos Leonie Asfora Sarubbo Center for Sciences and Technology Catholic University of Pernambuco Recife-PE 50. 050-900 Brazil Center for Technology and Geosciences Federal University of Pernambuco Recife-PE 50. 050-900 Brazil Center for Technology and Innovation Management Recife-PE 50. 050-900 Brazil

The aim of the present study was to implant an efficient strategy for controlling the level of the effluent-oily foam interface in a DAF （dissolved air flotation） chamber of a pilot-scale prototype. DAF has been successfully used in the treatment of oily water, which is one of the main environmental problems in different industrial facilities. Along with important operational parameters, such as microbubble size and flow rate, the control strategy for the automation of a DAF chamber may be an important tool for increasing efficiency. controlling the level was the strategy chosen to enhance the separation efficiency in a pilot-scale DAF prototype, with monitoring performed using a computational program in LabVIEW （laboratory virtual instrument engineering workbench）. The findings demonstrate that it is possible to maintain the level of the fluid at a reference value established by the operator using the software program through the application of classic proportional integral derivative controllers. Using this control tool, the efficiency of water-oil separation in the pilot flotation chamber prototype was increased to nearly 98%.

关键词： Dissolved air flotation level control LabVIEW proportional integral derivative liquid-liquid separation.

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