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首页> 外文期刊>International journal of applied evolutionary computation >Control Dynamics and Simulation of Inclined Cart and Pendulum System
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Control Dynamics and Simulation of Inclined Cart and Pendulum System

机译：倾斜小车和摆系统的控制动力学与仿真

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This paper applies various soft-computing control strategies for offline mode control of highly nonlinear cart and pendulum system moving on an inclined surface. The surface is considered at inclination of 12° from horizontal. The study compares performance of four different control techniques namely Proportional-integral-derivative (PID), Fuzzy logic, Adaptive neuro fuzzy inference system (ANFIS) and Neural networks for control of proposed system. A Matlab-Simulink model of system has been developed from mathematical equations derived using Newton's second law. The cart and pendulum system has been initially controlled using PID controllers and results were further used to train ANFIS and neural controllers. The ANFIS and fuzzy controllers were designed using three and nine gbell shape membership functions (MFs) respectively. The controllers were further compared in terms of settling time, overshoot and undershoot.
机译：本文将各种软计算控制策略应用于在倾斜表面上移动的高度非线性小车和摆系统的离线模式控制。该表面被认为与水平面倾斜12°。该研究比较了四种不同的控制技术的性能，即比例积分微分（PID），模糊逻辑，自适应神经模糊推理系统（ANFIS）和神经网络对所建议系统的控制。系统的Matlab-Simulink模型是根据使用牛顿第二定律推导出的数学方程式开发的。推车和摆锤系统最初使用PID控制器进行控制，其结果进一步用于训练ANFIS和神经控制器。 ANFIS和模糊控制器分别使用三个和九个gbell形状隶属度函数（MF）设计。进一步比较了控制器的建立时间，过冲和下冲。

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