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Formulation of nonlinear control problems with actuator saturation as linear programs

机译:作为线性程序的执行器饱和度的非线性控制问题的制定

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Control of input-affine nonlinear dynamical systems is investigated in this paper. In this regard, a system of linear inequalities (SLI) in the control inputs is developed, and it is proved that if this SLI has a solution at all times, applying it to the system leads to moving its state trajectories towards the desired point in space for all initial conditions. But, since it may happen that this SLI has infinitely many solutions or even no solution, the best (possibly, approximate) solution is obtained by solving a linear programming (LP) problem. Different LP problems with different properties and applications are proposed for this purpose. Formulation of the control problem as an LP makes it possible to take into account the effect of actuator saturation simply by adding bound constraints to the problem. We can also make the resulting control system robust to model uncertainties. Some numerical examples including the output voltage regulation of double-source DC-DC converter and robot path-planning, both by considering the effect of actuators saturation and taking into account the uncertainties in model, are also presented. (c) 2021 European Control Association. Published by Elsevier Ltd. All rights reserved.
机译:本文研究了对输入仿射非线性动力系统的控制。开发了控制输入中的线性不等式(SLI)系统,并且如果该SLI始终具有解决方案,则将其施加到系统,导致其状态轨迹移动到所需的位置所有初始条件的空间。但是,由于可能发生这种SLI无限的解决方案甚至没有解决方案,因此通过求解线性编程(LP)问题来获得最佳(可能的近似)解决方案。为此目的提出了不同性质和应用的不同LP问题。作为LP的控制问题的制定使得可以通过向问题添加限制约束来考虑致动器饱和度的效果。我们还可以使所产生的控制系统稳健地模拟不确定性。还提出了一些数值示例,包括通过考虑执行器饱和和考虑模型中的不确定性的效果,包括双源DC-DC转换器和机器人路径规划的输出电压调节。 (c)2021年欧洲控制协会。 elsevier有限公司出版。保留所有权利。

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