DocumentCode
3187449
Title
Research on Single Neuron PID Control Method for Time Delay Systems
Author
Liu Wenbo ; Wang Mengxiao
Author_Institution
Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an, China
Volume
3
fYear
2010
fDate
11-12 May 2010
Firstpage
112
Lastpage
115
Abstract
A single neuron PID control method based on Smith predictor is presented in this paper to overcome the short-comings that the control effect of conventional Smith predictor will be worse while the parameters of time delay systems change. This method combines the single neuron PID with Smith predictor. By the self adapting and self organizing of single neuron, it can be adapted to the parameters changing of the controlled plant. And the simulation study had been done for a first order time delay system. The results show that this method offer good static and dynamic characteristics as well as its disturbance-rejection and robustness are better.
Keywords
adaptive systems; delays; neurocontrollers; predictive control; three-term control; Smith predictor; self adapting system; self organizing; single neuron PID control method; time delay systems; Artificial neural networks; Automatic control; Biological system modeling; Control systems; Delay effects; Neurons; Predictive control; Predictive models; Three-term control; Transfer functions; Single neuron PID; Smith predictor; Time delay systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.630
Filename
5522447
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