| dc.description.abstract | Despite the rapid development in systems of process control, the PID controller (Proportional-Integral-Derivative) is the most widely used in the industry, because its simple and robust features are enough to work in a variety of processes. However, it is properly tuned complex gains PID, because the processes are nonlinear systems, or stationary, so that its characteristics change over time. The tuning process is not trivial, since it largely depends on the process to be controlled, and there is no method that is appropriate for all applications. Given this adaptive control systems, where the controller performs a self-tuning arise. Are designed very sophisticated about classical PID strategies, these techniques have artificial intelligence. In this paper a genetic algorithm capable of tuning PID controllers based on the criterion of the integral absolute error (IAE), the algorithm is simulated and compared with matlab tools designed for this purpose.. | |
