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首页> 外文会议>Proceedings of the Fifth symposium on fractional differentiation and its applications >Intelligent Fractional Order Controller Design For Ball and Beam Control System
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Intelligent Fractional Order Controller Design For Ball and Beam Control System

机译：球和束控制系统的智能分数阶控制器设计

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Intelligent control techniques are nowadays recognized tools in both academia and industry. Methodologies coming from the field of computational intelligence, such as fuzzy logic, neural networks and evolutionary computation can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. In this paper we present a cascade fuzzy controller with fractional order PID controller for the control of a ball and beam system (BBS). Mathematical model of the BBS is first obtained using Euler-Lagrange framework. We employ a fractional order controller for inner loop and a fuzzy logic controller (FLC) in the outer loop. Such a cascade configuration gives many advantages from control theoretic point of view. We also perform a comparison of this cascade confguration by replacing fractional order controller with integer order PID controller. It was observed that Fuzzy with Fractional-PID controller makes the overall system more stable with a remarkable decrease in settling time. Furthermore it eliminates overshoots around the desired set point much better than the integer order PID controllers.
机译：智能控制技术是当今学术界和工业界公认的工具。来自计算智能领域的方法，例如模糊逻辑，神经网络和进化计算，可以导致适应更复杂的过程，提高性能，节省大量时间并降低成本。在本文中，我们提出了一种带有分数阶PID控制器的级联模糊控制器，用于控制球和光束系统（BBS）。首先使用Euler-Lagrange框架获得BBS的数学模型。我们对内循环采用分数阶控制器，在外循环采用模糊逻辑控制器（FLC）。从控制理论的角度来看，这种级联配置具有许多优点。我们还通过将分数阶控制器替换为整数阶PID控制器来对此级联配置进行比较。观察到，带有分数PID控制器的Fuzzy使整个系统更加稳定，并显着减少了建立时间。此外，与整数PID控制器相比，它可以更好地消除所需设定点附近的过冲。

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