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Feedback linearizing indirect adaptive fuzzy control with foraging based on-line plant model estimation

机译:基于觅食的反馈线性化间接自适应模糊控制在线工厂模型估计

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摘要

The present paper describes the development of an indirect adaptive fuzzy control scheme employing feedback linearizing technique. The scheme proposes the development of a fuzzy certainty equivalence controller for controlling non-linear plants. This controller is designed on the basis of plant parameters estimated online at each sampling instant using bacterial foraging optimization (BFO) technique, a stochastic optimization technique, popularly employed in recent times. The utility of the proposed scheme is aptly demonstrated by implementing it to control the level in a surge tank under a variety of reference input commands, where the fuzzy controller could significantly out-perform the corresponding classical feedback linearizing controller and PSO-based fuzzy controller.
机译:本文描述了一种采用反馈线性化技术的间接自适应模糊控制方案的发展。该方案提出了一种用于控制非线性设备的模糊确定性等价控制器的开发。该控制器是基于细菌采样优化(BFO)技术(一种随机优化技术)在每个采样瞬间在线估算的植物参数而设计的,该技术是最近流行的。通过在各种参考输入命令下实现对调压罐中液位的控制,该方案的实用性得到了恰当的展示,其中模糊控制器的性能明显优于相应的经典反馈线性化控制器和基于PSO的模糊控制器。

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