Single neuron PID controller based on adaptive Smith predictor for networked control systems

Author(s):  
Xian Zhang ◽  
Liman Yang ◽  
Yunhua Li
2011 ◽  
Vol 219-220 ◽  
pp. 1101-1104
Author(s):  
Yong Xian Jin ◽  
Gao Feng Che ◽  
Yi Sheng Guan

With the development of control theory and communication technology, networked control systems have got more and more attention. The traditional PID controller is no longer suitable to meet performance requirements of time-delay control systems. And communication network is introduced into control systems that makes systems arise some problems, such as time delays, data dropout and so on. These problems affect the control performance badly. A model based on the single-neuron PID controller for networked control systems is proposed to improve the control performance. The design method for controller is based on neural network, traditional PID controller and Smith predictive control. The simulation results represent the model we proposed has better control performance.


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