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Theory-Intelligent dynamic matrix Model of Flatness Control for Cold Rolled Strips

Journal of Iron and Steel Research International 2013年第8期20卷 1-7页

作者： LIU Hong-min SHAN Xiu-ying JIA Chun-yu National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University State Key Laboratory of Metastable Materials Science and Technology Yanshan University

In order to increase the precision of flatness control, considering the principle and the measured data of rolling process essence, the theory-intelligent dynamic matrix model of flatness control is established by using theory and in-telligent methods synthetically. The network model for rapidly calculating the theory effective matrix is established by the BP network optimized by the particle swarm algorithm. The network model for rapidly calculating the meas- urement effective matrix is established by the RBF network optimized by the cluster algorithm. The flatness control model can track the practical situation of roiling process by on-line selVlearning. The scheme for flatness control quantity calculation is established by combining the theory control matrix and the measurement control matrix. The simulation result indicates that the establishment of theory-intelligent dynamic matrix model of flatness control with stable control process and high precision supplies a new way and method for studying flatness on-line control model.

关键词： flatness control dynamic matrix theory model measured data neural network particle swarm cluster

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Vector control of permanent magnet synchronous motor based on dynamic matrix control

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Journal of Measurement Science and Instrumentation 2017年第4期8卷 340-346页

作者： WANG Rui-min ZHU Qi-xian DONG Hai-ying School of Automatic & Electrical Engineering Lanzhou Jiaotong University Lanzhou 730070 China State Key Laboratory of Large Electric Transmission Systems and Equipment Technology Tianshui Electric Drive Research Institute Company Tianshui 741020 China School of New Energy and Power Engineering Lanzhou Jiaotong University Lanzhou 730070 China

Aiming at the control problem of strongly nonlinear and coupled permanent magnet synchronous motor(PMSM)oil rig,this paper presents a predictive control method based on dynamic matrix *** this method,the dynamic matrix algorithm using multistep prediction technique is applied to the speed loop control of the motor vector *** its control effect is compared with the traditional proportional integral(PI)control of the *** comparing the initial dynamic response and the steady-state recovery under load interference of the two methods,it is shown that the dynamic response and the robustness of the motor controlled by the new method is better than that controlled by conventional PI *** the feasibility of new control in the application of PMSM oil rig is verified.

关键词： permanent magnet synchronous motor (PMSM) predictive control dynamic matrix speed loop

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维普期刊数据库

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The analysis of optimal sampling period on output multi-rate predictive control system

The analysis of optimal sampling period on output multi-rate...

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2010 Chinese Control and Decision Conference

作者： Lifang Zhou,Ailiang Ma,Linlin Liu,Nana Zhu State Key Laboratory of Industrial Control Technology,Department of Control Science & Engineering, Zhejiang University,Hangzhou,310027

＜正＞Sampling period is an important parameter with aspect influence in digital control *** this paper,based on a multi-input -multi-output system and the method of dynamic matrix predictive control,a model of multi-rate output was established;Using genetic algorithm to realize the optimization of sampling period,and the simulation for a speed-coupling system indicated that,when the sampling-period are selected properly,the stability and system performance with multi-rate output system are better than other output periods.

关键词： Multi-rate output Speed-coupling system dynamic matrix Sampling-period Genetic algorithm

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