Application of Multivariable Non-linear Decoupling Control Based on Neural Network in DCS
Aimed at Neural Network can approach any nonlinear system with arbitrary accuracy,the frame of distributed NN decoupling system are proposed to decouple the MIMO nonlinear system.In this paper,we designed and finished the Distributed Control System based on ABBs Freelance 800F,and collected experimental data to model the thermostatic heater,then we have carried out the mathematical model by means of MATLAB dynamic simulation.In sequence,we trained the neural network controller in MATLAB.When the decoupling is completed,we used controller to control the MIMO nonlinear system in DCS.Experiment result shows that it is conscientiously feasible and deserves to be widely applied in the process of controlling industry.
Neural network Nonlinear system Distributed Control System BP network Steady state
Jianbo Zhang Yan Bai Yanzuo Yang
Dept.of Automation North China Electric Power University (Beijing)Changping Zhuxinzhuang 542＃,Beijin Dept.of Electrical Engineering Karlstad University (Sweden) Duettgatan 7,656 36 Karstad,Sweden
国际会议
太原
英文
364-367
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）