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Robust self-tuning fractional order PID controller dedicated to non-linear dynamic system

机译:强大的自调整分数阶PID控制器专用于非线性动态系统

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摘要

A novel Non-Linear Fractional order PID controller (NLF-PID) is designed for control of coupled and non-linear 2-link rigid robot. The structure of proposed controller comprises of non-linear hyperbolic function of instantaneous error and current state cascaded with Fractional Order PID (FO-PID). Non-linear function provides adaptive control ability while incorporation of fractional operator enhances flexibility of designed controller. To examine the comparative merits of NLF-PID controller, Non-linear PID (NL-PID), FO-PID and traditional PID schemes are also implemented. Design variables of controllers are optimally tuned using multi objective Non-dominated Sorting Genetic Algorithm II (NSGA-II) for small variation in control and error signal. Results prove that NLF-PID provides robust and efficient control of robotic arm as compared to other designed controllers for reference tracking, model uncertainty, disturbance and noise due to inherent shortcoming of sensor.
机译:一种新颖的非线性分数级PID控制器(NLF-PID)设计用于控制耦合和非线性2连杆刚性机器人。 所提出的控制器的结构包括瞬时误差和电流状态的非线性双曲函数,以及用分数级PID(FO-PID)级联。 非线性函数提供自适应控制能力,同时结合分数算子增强了设计控制器的灵活性。 为了检查NLF-PID控制器的比较优点,还实现了非线性PID(NL-PID),FO-PID和传统的PID方案。 使用多目标非主导分类遗传算法II(NSGA-II)进行最佳地调整控制器的设计变量,用于控制和误差信号的小变化。 结果证明,与其他设计的控制器相比,NLF-PID提供了对机器人臂的鲁棒和有效控制,用于参考跟踪,模型不确定,扰动和由于传感器固有的缺点而产生的。

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