Stabilizing ℓ-semioptimal fractional controller for discrete non-minimum phase system under unknown-but boundeddisturbance

Q3 Physics and Astronomy Cybernetics and Physics Pub Date : 2023-09-30 DOI:10.35470/2226-4116-2023-12-2-121-128
Dmitriy Ivanov, Oleg Granichin, Vikentii Pankov, Olga Granichina
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Abstract

We consider the problem of optimal stabilizing controller synthesis for a discrete non-minimum phase dynamic plant described by a linear difference equation with an additive unknown-but-bounded disturbance. When considering the ’worst’ case of disturbance, solving this optimization problem has combinatorial complexity. However, by choosing an appropriate sufficiently high sampling rate, it becomes possible to achieve an arbitrarily small level of suboptimality using a noncombinatorial algorithm. In this article, we propose using fractional delays to achieve a small level of suboptimality without significantly increasing the sampling rate. We approximate fractional delays by minimizing the ℓ1-norm of the objective function. The proposed approximation of the fractional delay allows obtaining zero additional error for many non-integer solutions. Furthermore, it is shown that with a non-zero approximation error, the resulting controller may have a smaller additional error than the controller obtained using integer optimization. The theoretical results are illustrated by simulation examples with non-minimum-phase plants of the second and third orders.
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未知有界扰动下离散非最小相位系统的稳定半最优分数控制器
考虑具有加性未知但有界扰动的离散非最小相位动态对象的最优稳定控制器综合问题。当考虑干扰的“最坏”情况时,求解该优化问题具有组合复杂性。然而,通过选择适当的足够高的采样率,可以使用非组合算法实现任意小水平的次优性。在本文中,我们建议使用分数延迟在不显著增加采样率的情况下实现小水平的次优性。我们通过最小化目标函数的1-范数来近似分数阶延迟。所提出的分数阶延迟近似值允许对许多非整数解获得零附加误差。进一步证明,在非零近似误差下,得到的控制器可能比采用整数优化得到的控制器具有更小的附加误差。通过二阶和三阶非最小相位装置的仿真实例验证了理论结果。
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来源期刊
Cybernetics and Physics
Cybernetics and Physics Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
1.70
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.
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