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A new concept on flatness-based control of nonlinear dynamical systems

机译:基于平面度的非线性动力学系统控制的新概念

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The paper proposes a new method for the control of nonlinear dynamical systems which is based on differential flatness theory. The method assumes that the system is already found or can be transformed to the so-called triangular form. The controller design proceeds by showing that each row of the statespace model of the nonlinear system stands for a differentially flat system, where the flat output is chosen to be the associated state variable. Next, for each subsystem which is linked with a row of the state-space model a virtual control input is computed, that can invert the subsystem's dynamics and can eliminate the subsystem's tracking error. From the last row of the state-space description, the control input that is actually applied to the nonlinear system is found. This control input contains recursively all virtual control inputs which were computed for the individual subsystems associated with the previous rows of the state-space equation. Thus, by tracing the rows of the state-space model backwards, at each iteration of the control algorithm, one can finally obtain the control input that should be applied to the nonlinear system so as to assure that all its state vector elements will converge to the desirable setpoints. The proposed flatness-based control method can solve efficiently several nonlinear control problems. Indicative evaluation results are presented in the manuscript in the form of simulation experiments. These confirm also the potential application of the proposed control method to electric power generators and to renewable power generation systems.
机译:提出了一种基于微分平坦性理论的非线性动力学系统控制新方法。该方法假定已经找到系统或可以将其转换为所谓的三角形式。控制器的设计通过显示非线性系统状态空间模型的每一行代表差分平坦系统,其中平坦输出被选择为关联的状态变量。接下来,对于与状态空间模型的一行链接的每个子系统,将计算一个虚拟控制输入,该输入可以反转子系统的动态特性并消除子系统的跟踪误差。从状态空间描述的最后一行,可以找到实际应用于非线性系统的控制输入。该控制输入递归包含所有虚拟控制输入,这些虚拟控制输入是为与状态空间方程的前几行相关联的各个子系统计算的。因此,通过向后跟踪状态空间模型的行,在控制算法的每次迭代中,最终都可以获取应应用于非线性系统的控制输入,以确保其所有状态向量元素都将收敛于理想的设定点。所提出的基于平坦度的控制方法可以有效地解决几个非线性控制问题。指示性评估结果以模拟实验的形式呈现在手稿中。这些也证实了所提出的控制方法在发电机和可再生能源发电系统中的潜在应用。

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