Level Control of a Crude Oil Tank using Fuzzy-PID Controller

Sünkün S., Parlak B. O., Akca T. B.

7th International Artificial Intelligence and Data Processing Symposium, Malatya, Turkey, 7 - 08 September 2023, pp.104-114

  • Publication Type: Conference Paper / Full Text
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.104-114
  • Yıldız Technical University Affiliated: Yes


For crude oil operations, tank-level monitoring and management are essential. Integrating soft control methods such as fuzzy proportional-integral-derivative (FPID) into the management of these operations can serve purposes such as increasing efficiency, reducing energy consumption, reducing security risks, and improving product quality. The paper presents the level control of a crude oil tank system using the FPID controller. The mathematical model of the system is derived with the help of flow, electrical and mechanical subcomponents. Takagi-Sugeno fuzzy inference method and a 5x5 symmetrical rule base are both employed to construct the FPID controller. The inputs of the fuzzy controller are determined as the tracking error and the derivative of the tracking error and are expressed with triangular membership functions. The proportional-integral-derivative (PID) parameters of the controller are tuned through the genetic algorithm (GA). The performance of the proposed FPID controller is compared with a conventional PID controller whose parameters are also tuned with GA, in the simulation environment in terms of certain performance metrics. Based on the simulation results, the proposed FPID controller was better in all performance metrics when dealing with single amplitude step input (up to 62.30%), multiple amplitude step input (up to 7.29%), and multiple amplitude step input with disturbance (up to 3.36%). The lower values of FPID in comparison to PID across all error criteria indicate the higher robustness of the proposed controller.