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Research on the controller of an arc welding process based on a pid neural network

控制理论与应用（英文版） 2008年第3期6卷 327-329页

作者： Kuanfang HE Shisheng HUANG College of Mechanical Engineering South China University of Technology Guangzhou Guangdong 510640 China

A controller based on a pid neural network （pidNN） is proposed for an arc welding power source whose output characteristic in responding to a given value is quickly and intelligently controlled in the welding process. The new method syncretizes the pid control strategy and neural network to control the welding process intelligently, so it has the merit of pid control rules and the trait of better information disposal ability of the neural network. The results of simulation show that the controller has the properties of quick response, low overshoot, quick convergence and good stable accuracy, which meet the requirements for control of the welding process.

关键词： Welding process Characteristic of output pid neural network Controller

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Decoupling Control Based on pid neural network for Plasma Cutting System

Decoupling Control Based on PID Neural Network for Plasma Cu...

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第二十七届中国控制会议

作者： Jia Deli,You Bo,Zhang Fengjing Harbin University of Science and Technology,Harbin 150080,P.R.China

A decoupling control based on pid（proportional-integral-derivative） neural network and relevant algorithms are proposed in this *** are introduced to solve problems of nonlinearity and strong coupling between cutting speed and torch’s height in plasma cutting *** dynamic model of system was established with use of BP（back-propagation） neural *** actual experimental cutting result shows that decoupling control technology based on pid neural network is an effective decoupling control for cutting speed and torch’s height in plasma cutting system.

关键词： pid neural network Plasma Cutting Decoupling Control Technology

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A New Control System Based on An Improved pid neural network Controller for Landslide System Control

A New Control System Based on An Improved PID Neural Network...

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第三十九届中国控制会议

作者： Ying Zhang Shu Sun Cheng Lian Xiaoping Wang the School of Artificial Intelligence and Automation the Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology the School of Artificial Intelligence and Automation the Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology the School of Automation Wuhan University of Technology IEEE

In this paper, a new control system based on the improved pid neural network controller（pidNNC） is designed to control the landslide displacement. In the control system,the fuzzy comprehensive judgement model of landslide system is established to judge whether the system needs to be controlled and give the expected displacement. To solve the problem of random initialization in pidNNC, This paper proposed an improved pidNNC based on fuzzy pid controller（F-pidNNC）.The fuzzy pid controller is used to obtain the proportional,integral and differential coefficients kp, ki and kd. Then the obtained parameters are taken as the initial weights of *** effectiveness of the proposed control system is simulated on Baishuihe and Shiliushubao landslides. The results show that the proposed control system based on F-pidNNC is much accurate and faster than the traditional one-dimensional fuzzy pid controller and pidNNC.

关键词： pid neural network Fuzzy pid controller Landslide control Stability evaluation

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pidNN Decoupling Control of Doubly Fed Hydro-Generator System Based on PSO Method

PIDNN Decoupling Control of Doubly Fed Hydro-Generator Syste...

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第三十届中国控制会议

作者： GUO Aiwen~1,LI Jinping~2,YANG Jiebin~2 1.Department of Automation,College of Power & Mechanical Engineering,Wuhan University,Wuhan 430072,P.R.China 2.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan University,Wuhan 430072,P.R.China

The doubly fed hydro-generator system is a novel type of hydraulic generation *** the performances of uncertain and nonlinear as well as parameters coupling and time-variation for three parts of water flux, hydro-turbine and generator,the doubly fed hydro-generator system is highly nonlinear,time-varying,large time delay and multi-variable strong *** solve this problem,a multi-variable adaptive neural network decoupling controller with pid structure is introduced based on the principle of NN control and decoupling *** decoupling and control capability of pidNN decoupling controller are from the NN cross-tie structure and the nonlinear mapping *** weighs of the NN are learned and optimized by the particle swarm optimization(PSO) algorithm,which is known for its searching ability in the total parameter space concurrently and *** NN weights will not only eliminate the coupling relations between circuits,but also strengthen the pidNN controller’s *** comparison with the conventional pid control,the results of simulation show that hydro-generator system is good robustness against system parameters uncertainly and load disturbance.

关键词： Doubly Fed Hydro-Generator System Decoupling Control pid neural network PSO

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