Adaptive control provides techniques for adjusting parameters in real time to maintain system performance despite unknown or changing process parameters. These methods use data tune controllers and adjust plant models controller The field has progressed significantly since the 1970s, helped by digital computers. Early applications offered essential feedback, theoretical advances solved many basic problems. This book comprehensively treats adaptive control, guiding readers from problems...

Abstract This paper gives an overview on the theoretical results of recently developed algorithms for iterative controller tuning based correlation approach. The basic idea is to decorrelate output error between achieved and designed closed‐loop systems by iteratively parameters. Two different approaches are investigated. In first one, a equation involving vector instrumental variables solved using stochastic approximation method. It shown that, with appropriate choice finite number data at...

Data-driven controller tuning for the model-reference control problem is investigated. A new controller-tuning scheme linear time-invariant single-input single-output systems proposed. The method, which based on correlation approach, uses a single set of input/output data taken in open-loop or closed-loop operation. specific choice instrumental variables makes criterion an approximation criterion. and parameters are asymptotically not affected by noise. Although finite length biased, bias...

The purpose of this paper is to explore the applicability linear time-invariant dynamical systems with polytopic uncertainty for modeling and control islanded dc microgrids under plug-and-play (PnP) functionality distributed generations (DGs). We develop a robust decentralized voltage framework ensure stability reliable operation microgrids. problem PnP DGs formulated as convex optimization structural constraints on some decision variables. proposed scheme offers several advantages including...

Abstract This paper presents a data‐driven controller tuning method that includes set of constraints for ensuring closed‐loop stability. The approach requires single experiment and can also be applied to nonminimum‐phase unstable systems. scheme generates an estimate the output error is used minimize approximation model reference control problem. correlation deal with influence measurement noise. For linearly parameterized controllers, this leads convex optimization A sufficient condition...

Cross regulation is the main technical challenge of a single-inductor multiple-output (SIMO) dc-dc converter. This paper proposes multivariable digital controller to suppress cross dual-output (SIDO) buck converter in continuous conduction mode (CCM) operation. The design methodology originates from open-loop shaping multi-input multi-output (MIMO) systems. control procedure includes: 1) determination family nonparametric models SIDO at operating points interest, 2) class controller, and 3)...

This paper proposes a decentralized control strategy for the voltage regulation of islanded inverter-interfaced microgrids. We show that an microgrid under plug-and-play (PnP) functionality distributed generations (DGs) can be cast as linear time-invariant system subject to polytopic-type uncertainty. Then, by virtue this novel description and use results from theory robust control, guarantees stability desired performance even in case PnP operation DGs. The controller is solution convex...

SUMMARY In many industrial applications, finding a model from physical laws that is both simple and reliable for control design hard time‐consuming undertaking. When set of input/output measurements available, one can derive the controller directly data, without relying on knowledge physics. scientific literature, two main approaches have been proposed system data. ‘model‐based’ approach, first derived data then computed‐based model. ‘data‐driven’ computed this work, previous are compared...

In this article, using Lyapunov's stability theorem, the transient conditions for a grid-following voltage-source converter (VSC) are found. These take into account both grid specifications and VSC's dynamics. The derived based on well-known nonlinear model of phase-locked loop. To evaluate system, direct method is employed. end, new function proposed, its characteristics analyzed. Using function, domain attraction system's equilibrium point calculated. addition, novel system strength index...

This paper presents a vector control strategy for regulating the current of grid-tied voltage source converters (VSCs) in rotating reference frame. The proposed approach is based on shaping open-loop and closed-loop transfer matrices system. Solving constrained convex optimization problem, achieved, which guarantees stability designed controller results desired dynamic performance decouples direct quadrature ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML"...

In this paper, an iterative-learning-control (ILC) algorithm is proposed for a certain class of linear parameter-varying (LPV) systems whose dynamics change between iterations. Consistency the in presence stochastic disturbances shown. The tested simulation and obtained tracking performance compared with that using standard time-invariant ILC algorithm. Better results are method. method also applied to linear, permanent-magnet synchronous motor system, which shown be LPV system specific...

This paper proposes a multivariable digital control design methodology for the voltage regulation of an islanded single distributed generation (DG) unit microgrid and its dedicated load. The controller is based on family spectral Multi-Input Multi-Output (MIMO) models system performs open-loop shaping decoupling simultaneously by convex optimization approach. procedure includes: (i) determination nonparametric at various operating points, (ii) class controller, (iii) minimization summation...

In this paper, a data-driven approach is proposed to tune fixed-order controllers for unknown stable LTI plants in mixed-sensitivity loop-shaping framework. The method requires single set of input-output samples and it based on convex optimization techniques; moreover, asymptotically guarantees the internal stability closed-loop system. effectiveness illustrated with application control an active suspension

Islanded microgrids have low real and reactive power generation capacity inertia. This makes them susceptible to large frequency voltage deviations, which deteriorate quality can cause or collapse. Grid-supporting battery energy storage systems are a possible solution as they able respond quickly changes of their set-points. In this paper, data-driven grid-supporting control system for systems, requires no the inverters inner loops compared with conventional inverter, is proposed. Tuning...

In this paper, a new discrete-time data-driven distributed learning control strategy for frequency/voltage regulation and active/reactive power sharing of islanded microgrids is proposed. Instead using the static droop relationship conventional primary-secondary hierarchical structure, framework adopted neural network used to learn law. The tuned online operational system input/output data with no training phase. As result, transient performance improved remarkable plug-and-play capability...