Title :
Combined ACO algorithm — Nelder-Mead simplex search for controller and anti-windup tuning for a motion system with flexible transmission
Author :
Blondin, Maude-Josee ; Sicard, Pierre
Author_Institution :
ECE Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivières, QC, Canada
Abstract :
Optimal controller and anti-windup tuning for motion systems with flexible coupling and cascaded loops control structure is a practical and difficult problem, in particular when time scale separation is insufficient. An Ant Colony Optimization (ACO) based methodology for global off-line tuning of Proportional-Integral-Derivative (PID) controllers with anti-windup can be used at the expense of excessive computation time. A new hybrid algorithm based on ACO and Nelder-Mead (NM) improves computation time to reach accurate optimal solutions. This hybrid algorithm handles large sets of parameters to tune and the designer can modify or create new performance indices to fully grasp the desired behavior with multi-objective criteria.
Keywords :
ant colony optimisation; cascade control; motion control; optimal control; performance index; search problems; three-term control; ACO algorithm; ACO based methodology; NM algorithm; Nelder-Mead simplex search; PID controllers; ant colony optimization; antiwindup tuning; cascaded loops control structure; flexible coupling; flexible transmission; global off-line tuning; motion systems; multiobjective criteria; optimal controller; performance indices; proportional-integral-derivative controllers; Algorithm design and analysis; Cities and towns; Couplings; Indexes; Optimization; Quantization (signal); Tuning; Ant colony optimization; Heuristic algorithms; Integrator anti-windup; Motion systems; Nelder-Mead algorithm; Optimization; PID Controller;
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
DOI :
10.1109/IECON.2013.6699668