Multivariate Decoupling Control Based on Neural Network
Because the adoption of multivariable coupling system can not get good effect in the process of industrial production, we put forward a scheme that neural network PID decoupling control. This paper shows that how can the use of the golden section rate help the genetic algorithm to adjusting the parameters of the PID control, and how to realize the Jacobian information identification of the controlled object. through the RBF ( the network identification NNI) . Finally realize the intelligent dissolve accidentally control for the system. We also simulate the control process of a group of two variables strong coupling of time-varying system by the computer. The results show that the proposed control schemes have good effect, fast response strong adaptability and robustness.
Neural Network Genetic Algorithm Multivariable Systems Decoupling
Shao Ke-yong Wang Si-yu Wang Xi-gang
School of Electrical and Information Engineering, Northeast Petroleum University HeiLongJiang DaQing 163318,China
国际会议
三亚
英文
388-391
2012-01-06（万方平台首次上网日期，不代表论文的发表时间）