Comparison of Tuning Methods of Pid Controller Using Various Tuning Techniques with Genetic Algorithm

During the last years, the use of intelligent strategies for tuning of controller has been growing. The evolutionary strategies have won an important place thanks to their flexibility. PID tuning plays an important role in operations or tuning in the complex process such as the temperature of an oven used in many industrial applications. However, many tuning technologies for strictly maintaining the temperature are difficult to tune with conventional optimization methods since the process has many difficulties; delay or transportation lag, rate of temperature depends on thermal resistance, temperature oscillations about its nominal value etc. Up to the present time, since the gain of the controller has to be manually tuned by trial and error, it is very difficult to achieve an optimal gain with no experience. This paper addresses comparison of tuning methods of the PID Controller using various tuning techniques.