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Investigation of the Optimal PID-Like Fuzzy Logic Controller for Ball and Beam System with Improved Quantum Particle Swarm Optimization

O. Tolga Altinoz

Department of Electrical Electronics Engineering, Ankara University, Ankara, Turkey

E-mail Address: tolgaaltinoz@gmail.com

Corresponding author.

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A. Egemen Yilmaz

Department of Electrical Electronics Engineering, Ankara University, Ankara, Turkey

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https://doi.org/10.1142/S1469026822500250Cited by:3 (Source: Crossref)

Abstract

Fuzzy Logic Controllers (FLCs) are intelligent control methods, where membership functions and corresponding rules are defined to get a proper control signal. The parameters were defined for these controllers, and they are named as PID-like FLC since the input and output parameters are connected to the Fuzzy controller with integral and derivative action of the error signal to change the behavior/performance of FLC. In this research, three different rule sets for Fuzzy controllers; 3 × 3, 5 × 5, and 7 × 7 are used and parameters are optimized with; differential evolution, genetic algorithm, particle swarm optimization and quantum-behaved particle swarm optimization. In addition to these controllers, a novel algorithm named as improved quantum particle swarm optimization is proposed as a part of this research. The simulation and real-life implementation on the experimental set results of these controllers are discussed in this paper.

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