شماره ركورد كنفرانس :
3222
عنوان مقاله :
A Self-Tuning PID Design Based onWavelet Neural Network Using Lyapunov Method
Author/Authors :
Mohsen Farahani Electrical Engineering Department - University of Bu-Ali Sina , Soheil Ganjefar Electrical Engineering Department - University of Bu-Ali Sina , Mojtaba Alizadeh Electrical Engineering Department - University of Bu-Ali Sina
كليدواژه :
Self-tuning PID , Lyapunov method , Wavelet neural network , Adaptive control , Adaptive learning rates
عنوان كنفرانس :
دومين كنفرانس بين المللي كنترل، ابزار دقيق و اتوماسيون
چكيده لاتين :
This paper presents an adaptive self-tuning PID controller based on the Lyapunov method. To tune the gains of
PID controller, a self-tuning algorithm derived by the Lyapunov method is employed. Hence, the control error
converges to zero and the stability of the controlled system is guaranteed. To accommodate the controller, the wavelet neural network (WNN) is used. The simulation results are used to demonstrate the effectiveness of designed controller. With the proposed controller, the controlled system possesses the advantages of good tracking control performance and
robustness to unknown process.
