For improving the dynamic quality and steady-state performance, the hybrid controller based on recurrent neural network (RNN) is designed to implement the position control of the magnetic levitation ball system in this study. This hybrid controller consi
In the field programmable logic gate array (FPGA) integrated development environment, the BP neural network self-tuning PID controller is designed. In the construction of neural network, the parallel processing ability of FPGA and the deep pipeline technology are used to realize the serial and ...
Fig. 8. Matlab/Simscape model of the controllers: (a) with ANN controller and (b) with PID controller. 3.2. Training of the artificial neural network Recently computing techniques like artificial neural network is considered as a promising tool in several engineering applications. In this research...
3. Artificial neural network To obtain optimal MPPT and torque ripple minimization of SRG applied to WECS, an ANN controller is used. The value of Iref is estimated by the ANN for regulating the rotor speed within the appropriate value that required for extracting the maximum possible wind power...
I'm going to let this function play the role of theneural network. You should usedlnetworkto create a more complex network. function y = f(x,theta) y = sum(sin( theta(1)*x+ theta(2))); end Then I need to scope the computation of the function so thatd...
The tuning of proportional–integral–derivative (PID) controller is essential for any control application in order to ensure the best performance by step change or disturbance. This paper presents the tuning of PID controller for single-input single-output (SISO) and multiple-input multiple-output ...
The real time prototype of BackPropagation based Dynamic Neuro Controller (BDNC) using DSP (TMS320LF2407A) is developed for buck converter in order to eliminate the tuning of the PID controller parameters. The detailed simulation process through Simulink/Matlab is also given. It can be applied ...
The control error, e, and control variable, u, of the PID algorithm have been administered and recorded using a PC with Matlab and Simulink 7.10.0 (R2010a) MathWorks. In the Matlab and Simulink toolbox, the real-time windows target was used. The connection between the PLC and PC was ...
Given this background, the simulation experiments are carried out based on MATLAB/SIMULINK tools to evaluate the performances of four different turntable servo controllers, including the conventional PID, the fuzzy self-tuning PID, the neural network PID and the fuzzy RBF neural network PID ...
synchronization; chaotic financial system; fixed-time control; neural network; output constraint MSC: 34C28; 37D45; 92B20; 68T01; 93C40 1. Introduction It is recognized that the financial system is a type of extremely complex nonlinear system. Investigating the complex dynamical behavior of the ...