Optimal PID Controller Parameter For Coupled Tank System Using Priority Fitness Firefly Algorithm

Fadzli, Siti Nazatulsyima (2016) Optimal PID Controller Parameter For Coupled Tank System Using Priority Fitness Firefly Algorithm. Project Report. UTeM, Melaka, Malaysia . (Submitted)

Text (24 Pages) Optimal PID Controller Parameter For Coupled Tank System Using Priority Fitness Firefly Algorithm.pdf - Submitted Version Download (285kB)

Abstract

In this project, a Coupled Tank System (CTS) is controlled by Proportional-Integrate-Derivative (PID) controller, where the liquid needs to be pumped, stored in the tank and pumped again to the next tank. However, the flow and level of the liquid needs to be controlled and regulated. Thus, the implemented of PID controller is use to control the CTS. Conventionally, there are several tuning methods used to obtain the PID controller parameter which are Trial and Error (T-E), Auto-Tuning (A-T), Ziegler-Nichols (Z-N) and Cohen-Coon (C-C). Then, in order to improve the parameter of PID controller that obtain from conventional method, a new meta-heuristic algorithm namely Firefly Algorithm (FA) is implemented. Priority Fitness Firefly Algorithm (PFFA) is a combination of Priority Fitness and FA. It was designed according to the priority specification that has been set in term of steady state error (SSE), overshoot (OS) and settling time (Ts). Simulation is conducted within the Matlab environment and the results is evaluated and compared with Priority Fitness Particle Swarm Optimization (PFPSO). It shows that PFFA is improved almost 55% and 27 % of the OS and Ts respectively with zero Steady SSE.

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