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Optimal controller and anti-windup tuning can be identified to a hard optimization problem and be solved by metaheuristics. Since metaheuristics' performance is based on the balance between the diversification and intensification processes obtained by adjusting the method parameters, it is important to set it adequately to provide a high quality solution. A statistical Ant Colony Optimization (ACO)...
Nonlinear controller tuning with anti-windup is not trivial since the parameters within the structure are interdependent. A global optimization-based tuning approach can handle this interdependence. A hybrid Ant Colony Optimization (ACO) and Nelder-Mead (NM) algorithm for controller and anti-windup tuning efficiently solves this problem. This paper proposes a new way to constrain ACO-NM algorithm...
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...
Optimal controller and anti-windup tuning is a difficult problem for practical motion systems with flexible coupling and cascaded loops control structure especially 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 is proposed for such systems. Given the core...
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