TUNING PROPORTIONAL – INTEGRAL – DERIVATIVE CONTROLLER USING MAMDANI FUZZY LOGIC  CONTROLLER FOR PRACTICAL PLANTS

Karim Abdullah Albakri, Ahmed

	TUNING PROPORTIONAL – INTEGRAL – DERIVATIVE CONTROLLER USING MAMDANI FUZZY LOGIC CONTROLLER FOR PRACTICAL PLANTS
AL-TAQANI
Article 1, Volume 24, Issue 2, 2011, Pages 202-213
Author
Ahmed Karim Abdullah Albakri
Abstract
In many instances, the mathematical model of the plant is simply unknown or ill-defined, leading to greater complexities in the design of the control system. It has been proved that intelligent control systems give a better performance in such cases. In this paper two controllers are integrated to obtain the new intelligent controller .The conventional (proportional- Integral- derivate ) controller is integrated with intelligent controller ,Fuzzy logic Controller to control two complex plants. Two plants(Automatic Voltage Regulator (AVR),& DC Motor)are taken in this paper and the simulation has been performed using MA TLAB program. Determinately the idea for the proposed method in this paper depends on study the behavior of PID controller on-line then the PID parameters are adjusted by new rule base table for fuzzy controller which govern the output response for the system .During PID studying properties, there are some important relations between time response parameter and PID parameters such as: IF steady state error (ess) high THEN increases the Integral constant (KI.), IF rise time (tr) high THEN increase the proportional constant (Kp), IF overshot(O.S) high THEN increase the derivate constant (Kd), and so on to fill the rule base table, therefore a new rule base table is obtained with a good response for the systems

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