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Lyapunov Stability of Periodic Control on a Continuous Stirred Tank Reactor ?

机译:Lyapunov在连续搅拌罐反应器上定期控制的稳定性

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Periodic control uses zero mean parametric excitation as a tool to influence the transient behavior of a dynamical system. Unlike conventional methods, based on feedback or feedforward principles, the method of periodic control may not require any measurement of the deviations or disturbances to stabilize an unstable system. The choice of amplitude and frequency in periodic control provides two additional degrees of freedom to stabilize an open-loop system. Stability analysis of periodically forced systems is often limited to linearization methods. This is often not sufficient to assess the global properties of a non-linear system like finding the region of convergence. In this paper, forced oscillations are introduced in the input flow rates of a continuous stirred-tank reactor (CSTR) to operate the process around an unstable point. We use Lyapunov analysis to demonstrate the exponential stability of a CSTR system under the operation of periodic control. For exponentially convergent systems, we derive a theorem to estimate the region of convergence and show that the rate of convergence for a system under weak oscillations is almost the same as that of its averaged system. Numerical simulations of a propylene glycol process are carried out to illustrate the exponential stability of periodic control and verify the results of our analysis.
机译:定期控制使用零平均参数激励作为影响动态系统瞬态行为的工具。与传统方法不同,基于反馈或前馈原理,定期控制方法可能不需要任何测量偏差或干扰以稳定不稳定的系统。周期性控制中的幅度和频率的选择提供了两种额外的自由度来稳定开环系统。周期性强制系统的稳定性分析通常限于线性化方法。这通常不足以评估非线性系统的全局性质,如查找收敛区域。在本文中,在连续搅拌罐反应器(CSTR)的输入流速中引入强制振荡,以在不稳定点周围操作该过程。我们使用Lyapunov分析来展示在定期控制的操作下CSTR系统的指数稳定性。对于指数收敛系统,我们推导了定理来估计收敛区域,并表明在弱振荡下的系统的收敛速率与其平均系统的收敛速率几乎相同。进行丙二醇工艺的数值模拟,以说明周期性控制的指数稳定性,并验证我们分析的结果。

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