考虑时变参考的线性过度驱动系统静态最优解耦控制

Sebastian Bernhard, J. Adamy
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引用次数: 4

摘要

我们解决了线性过度驱动系统的静态解耦控制和由具有任意特征值的外生系统给出的时变参考。基于温和的假设,以输入的形式提供了额外的自由度。在此基础上,提出了二次积分代价的最优跟踪问题。尽管成本和动态具有时间依赖性,但我们得到了一个静态反馈和预滤波器,满足无限最终时间的必要最优性条件。它们可以分别由代数Riccati方程和Sylvester方程的解来计算。尽管它的推导和实现都很简单-为实际应用提供了极大的方便-我们证明了系统状态的唯一最优平稳轨迹的最优暂态行为。或者,更准确地说,是被证明存在的内部动力学。此外,如果满足简单的定性准则,则验证了静态控制律是计算代价昂贵的有限时间最优解的近似。对直升机模型的应用表明,与其他方法相比,我们的方法效率很高。
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Static optimal decoupling control for linear over-actuated systems regarding time-varying references
We address static decoupling control for linear over-actuated systems and time-varying references given by exogenous systems with arbitrary eigenvalues. Based on mild assumptions, additional degrees of freedom in form of an input are provided. Then an optimal tracking problem for quadratic integral cost is formulated. Despite the time dependency of the cost and dynamics, we derive a static feedback and pre-filter satisfying necessary optimality conditions for infinite final time. These can be calculated by the solution of an algebraic Riccati equation and a Sylvester equation, respectively. In spite of its simplicity in derivation as well as implementation - offering great convenience for practical use - we prove optimal transient behavior to a unique optimal stationary trajectory of the system states. Or, more precisely, of the internal dynamics which are proven to exist. Moreover, the static control law is verified to be a close approximation of the computationally expensive finite time optimal solution if simple qualitative criteria are met. An application to a helicopter model reveals the high efficiency of our approach compared to others.
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