Optimization for Parameter of PID Based on DNA Genetic Algorithm

PID control schemes have been widely used in most where of control system for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameters have a great influence on the stability and the performance of the control system. On the oth...

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Bibliographic Details
Main Authors: Huang Yourui, Chen Xiuqiao, Hu Yihua
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Biological information theory
Control systems
DNA computing
Encoding
Genetic algorithms
Optimal control
Optimization methods
Stability
Three-term control
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Summary:PID control schemes have been widely used in most where of control system for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameters have a great influence on the stability and the performance of the control system. On the other hand, in the last ten years, DNA computing is attracted as one method which gives us suitable answers for optimization problems. A new DNA encoding method based genetic algorithm is proposed based on the structure and the genetic mechanism of biological DNA. The structure of DNA genetic algorithm is provided, it is applied into the optimal design of PID controller system. The simulation results show excellent self learning capability of DNA genetic algorithm
DOI:10.1109/ICNNB.2005.1614757