Advanced Fireworks Algorithm and Its Application Research in PID Parameters Tuning

Abstract EN

Proportional-Integral-Derivative (PID) controller is one of the most widely used controllers for its property of simplicity and practicability.

In order to design high-quality performances PID controllers, an Advanced Fireworks (AFW) algorithm based on self-adaption principle and bimodal Gaussian function is proposed, which is built to optimize the PID controller by parameters tuning.

Firstly, a compound index of optimization performance is formulated, and then the extremal optimization method of PID control system is proposed.

Secondly, a PID parameters tuning model combined with AFW is built.

At last, 5 typical transfer functions are simulated to obtain optimal parameters by AFW and contrast tuning method, such as Ziegler-Nichols method, Enhanced Fireworks (EFW) algorithm, and Particle Swarm Optimization (PSO).

Simulation results show that AFW are effective and are easily implemented methods to solve PID control problems of different transfer functions.