Cuckoo Search Algorithm and TS Fuzzy Models for PID Control

In this paper, a new approach for designing a fuzzy PID Control based on the Cuckoo Search (CS) algorithm is proposed. On-line adaptive fuzzy identification is introduced to identify the system parameters at each time step. These parameters are used to calculate the objective function. Then, the optimization problem is solved based on an CS algorithm to determine the optimal PID parameters. The utility of the proposed controller is validated on an experimental communicating Three-Tank System (TTS), where the proposed approach-based CS algorithm provides better performances compared to approach-based Particle Swarm Optimisation (PSO) algorithm and PID control.