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The Study on the Dynamic Model and the Control Method of Hydraulic AGC System

Author: SunWeiHua
Tutor: JinWei
School: Northeastern University
Course: Detection Technology and Automation
Keywords: AGC Mathematical model Fuzzy PID LabVIEW
CLC: TG333
Type: Master's thesis
Year: 2008
Downloads: 148
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Abstract


Imprecision caused by the process of mathematical models for the uncertainties in the Mill Automatic Gauge Control System (Automatic Gauge Control System, referred to as the AGC system), and in view of the conventional PID controller tuning debug cycle length, and more difficult to adapt to process mathematical model change paper uses fuzzy PID control theory, the mill experimental simulation platform using LabVIEW Fuzzy Logic Toolkit to design and develop a parameter self-tuning fuzzy PID controller and experimental study to compare its control results with conventional PID controller, verify Fuzzy PID control technology feasibility of Mill Automatic Gauge Control. AGC system is an important method to improve the precision of the thickness of the strip is the mill, which uses the uniformity of the thickness of the plate and strip longitudinal, which produce qualified products, has become an indispensable part of the mill automation system. Firstly, on the basis of analysis of the mill hydraulic AGC system and its operation mechanism, the force balance equation of continuity equation of the basic equation of the servo valve, hydraulic cylinder, hydraulic cylinder and load basis to determine a mathematical model of the hydraulic servo control system . However, the impact of uncertainties due to the complexity of the rolling process incoming thickness change for Mill Automatic Gauge Control System, to establish a precise mathematical model is very difficult, is not conducive to the application of traditional control theory to achieve, intelligent control technology to provide an effective way to solve the automatic thickness control. And in-depth analysis of the rolling process on the basis of fuzzy control technology used in the thickness of the control system, and in the United States NI graphical programming software LabVIEW development platform, the use of fuzzy logic toolkit (Fuzzy Logic Toolkit) and PID tools package, design a parameter self-tuning fuzzy PID controller, the preparation of the corresponding fuzzy control procedures to achieve a rolling process, the thickness of the automatic control system based on fuzzy PID technology. Mill thickness control system, the fuzzy PID controller PID controller and fuzzy parameters self-adjusting mechanism composed of fuzzy self-adjusting mechanism to use the basic theory and method of fuzzy control, according to the actual response of the control system input signal, error signal e changes and error change ec, make the appropriate decision-making through fuzzy inference line adjustment KP, KI and KD PID parameters, it has the advantage of fuzzy control is flexible and adaptable, but also has the PID control and high accuracy. The effect of the experimental run parameters after the transformation of the AGC control system has good self-tuning performance than the original AGC system has been greatly improved precision thickness control, error control 1.5%, less than the average user requirements 3% margin of error, to some extent solve the problem of the conventional PID control method debugging cycle length or overshoot, indicating that the good results of the method, which can better meet the needs of modern metal rolling industry automatic gauge control system requirements, and lay a good foundation for the practical application of the scene.

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CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Rolling > Rolling mill machinery equipment
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