Control engineering

Parallel metaheuristic

Mathematics

Servomechanism

Algorithm

Mathematical optimization

Metaheuristic

Multi-swarm optimization

Engineering

Artificial intelligence

Fuzzy control system

Control (management)

Computer science

Control theory (sociology)

Fuzzy logic

Particle swarm optimization

IEEE Transactions on Fuzzy Systems

This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of two steps: the first generates randomly the particle population;and the second zooms the search domain. An application of this algorithm to the optimal tuning of proportional-integral-fuzzy controllers for the position control of a family of integral-type servo systems is then presented as a second contribution. The reduction in PF–PSO algorithm's cost function allows for reduced energy consumption of the fuzzy control system. A comparison with other metaheuristic algorithms on canonical test functions and experimental results are presented at the end of this article.

Hybrid Particle Filter–Particle Swarm Optimization Algorithm and Application to Fuzzy Controlled Servo Systems