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Neuro-Self Tuning Adaptive Controller for Non-Linear Dynamical Systems | ||
| Al-Khwarizmi Engineering Journal | ||
| Article 1, Volume 1, Issue 1, 2005, Pages 1-18 | ||
| Author | ||
| Ahmed Sabah Abdul Ameer Al-Araji | ||
| Abstract | ||
| In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual output of the system & to find the jacobain of the system. Which appears to be of critical importance parameter as it is used for the feedback controller and the second stage is learned on-line to modify the weights of the model in order to control the variable parameters that will occur to the system. A back propagation neural network is applied to learn the control structure for self-tuning PID type neuro-controller. Where the neural network is used to minimize the error function by adjusting the PID gains. Simulation results show that the self-tuning PID scheme can deal with a large unknown nonlinearity. | ||
| Keywords | ||
| Self; tuning; Neuro Network; Adaptive controller | ||
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