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**Topic under **Control Mode

**Source:** www.iis.sinica.edu.tw

**File size:** **352.64 KB**

**File type:** **pdf**

**Last download on:**
Fri May 11, 2018 01:19:07 AM

__Short Desciption__:

In the design of a PID controller, these controller parameters must be optimally selected in such a way that the closed loop system has to give desired response.

__Summary__:

This paper presents an efficient and fast tuning method based on a modified genetic
algorithm (MGA) structure to find the optimal parameters of the proportional-integral-
derivative (PID) controller so that the desired system specifications are satisfied. To
achieve more effective search, the optimization algorithm is based on the integration of
classical genetic algorithm structure and a systematic neighbourhood structure. To demonstrate
the effectiveness of presented method, the step responses of closed loop system
were compared with that of the existing methods in the literature. Simulation results indicate
that the performance of the PID controlled system can be significantly improved
by the MGA-based method.

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