![]() ![]() ![]() Simulation and experimental results are compared with each other and showed the effectiveness of the proposed control algorithm in terms of fast and smooth dynamic response for the speed control of the real DC motor. This system is the real-time DC motor position control for camera movement using PID algorithm in LabVIEW. Then these parameters are used in the designed real time nonlinear PID controller system based on LabVIEW package. 2 is the plant the controller regulates the motors speed by adjusting one or more of either the supply voltage to. To save time in the real system, a Matlab simulation package is used to carry out these algorithms to tune and find the best values of the nonlinear PID parameters. The dc motor whose speed is to be controlled using the PID controller in the Fig. As a simple and fast tuning algorithm, two optimization techniques are used trial and error method and particle swarm optimization PSO algorithm in order to tune the nonlinear PID neural controller's parameters and to find best speed response of the DC motor. In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. Nonlinear PID Controller, DC Motor, Particle Swarm Optimization, Neural Networks, MATLAB, LabVIEW Abstract Department of Control and Systems Engineering / University of Technology ![]()
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