Quantum mechanics

Algorithm

Control (management)

Linearization

Engineering

Control engineering

Tower crane

Computation

Reference model

Component (thermodynamics)

Particle swarm optimization

Computer science

Mathematical optimization

Thermodynamics

Physics

Nonlinear system

Mathematics

Fuzzy logic

Artificial intelligence

Tower

Structural engineering

Software engineering

Control theory (sociology)

Procedia Computer Science

A novel mix of two data-driven algorithms is proposed in this paper. The mix of the algorithms aims to exploit the main advantage of data-driven Virtual Reference Feedback Tuning (VRFT) algorithm, that is represented by the automatic computation of the optimal parameters using a metaheuristic Grey Wolf Optimizer (GWO) for the Compact Form Dynamic Linearization (CFDL) version of the authors' Model-Free Adaptive Control Takagi-Sugeno Fuzzy Algorithm (CFDL-PDTSFA), so the parameters of the CFDL-PDTSFA are optimally tuned in a model-free manner via VRFT. Three specific optimization problems are defined and solved by Model-Free Adaptive Control, VRFT and GWO algorithms. The new resulted algorithm is validated using experimental results to the arm angular position of the nonlinear tower crane system laboratory equipment.

Combined Model-Free Adaptive Control with Fuzzy Component by Virtual Reference Feedback Tuning for Tower Crane Systems