@article{MAKHILLJEAS2018132117073,
    title = {Hybrid PID-Fuzzy Controller for AGC in Two Thermal Area},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {21},
    pages = {9245-9251},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.9245.9251},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.9245.9251},
    author = {Falah and},
    keywords = {System,hybrid fuzzy logic,control,power,units,prospective},
    abstract = {In this study will be highlighted on the construct of an optimal controller in (AGC) circuit for two area
system by using many techniques (conventional integral controller KI, Proportional controller PI, Proportional
Integral Derivative PID and hybrid fuzzy logic control on adaptive PID-N controller FLC-PID-N to observed
and compared the response of the system. When using the above mentioned techniques to achieve better
system performance, multi step load disturbance 1-10% will applied to see two area response and to prove that
system as (robust system) responds to any change in load. This study will be done using MATLAB Software
simulation. The last method mentioned will be done using, planner will be built on rules that enable us to reach
the ideal controlling values. This scheme use fuzzy logic to find the controller's values that make PID controller
reduces the control error to almost zero. Depending on fuzzy logic, human cogitation is used for controller
values optimization, optimal control response can be prospective than that of the PID with constant values.}
    }