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Combined ACO algorithm — Nelder-Mead simplex search for controller and anti-windup tuning for a motion system with flexible transmission

机译:组合式ACO算法—灵活传输的运动系统的Nelder-Mead单纯形搜索,用于控制器和抗饱和调整

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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.
机译:具有灵活耦合和级联回路控制结构的运动系统的最优控制器和抗饱和调节是一个实际而困难的问题,尤其是在时间刻度分隔不充分的情况下。可以使用基于蚁群优化(ACO)的方法对带有反饱和的比例积分微分(PID)控制器进行全局离线调整,但要花费大量的计算时间。一种基于ACO和Nelder-Mead(NM)的新混合算法可缩短计算时间,以达到准确的最佳解决方案。这种混合算法处理大量参数以进行调整,设计人员可以修改或创建新的性能指标,以完全掌握具有多目标标准的所需行为。

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