Polynomial Controller Design and Its Application: Experimental Validation on a Laboratory Setup of Nonideal DC–DC Buck Converter

Kumar, Mahendra; Hote, Yogesh V.; Siddhartha, Vishwanatha

doi:10.1109/tia.2020.3014895

Cited by 8 publications

(12 citation statements)

References 28 publications

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“…where a i , i ∈ 1, n and b j , j ∈ 1, m are the real coefficients, n ≥ m. The target closed-loop characteristic polynomial (P target (s)) is given [29] as…”

Section: Rcra Approachmentioning

confidence: 99%

“…Definition 1: The characteristic ratios (γ i ) and generalised time constant (τ) for 7are defined as [22,29]…”

Section: Rcra Approachmentioning

confidence: 99%

“…The desired characteristic equation 7is stable if the following conditions are satisfied [21,22,29]:…”

Section: Rcra Approachmentioning

confidence: 99%

“…Rearranging (25)- (29), the analytical expressions for the coefficients gain of PIDA controller are computed as…”

Section: Mathematical Formulation Of Rcra Based Pida Design For Thermmentioning

confidence: 99%

See 3 more Smart Citations

Graphic RCRA‐PIDA tuning based on maximum sensitivity for automatic generation control of thermal and hydro power systems

Kumar

Hote

2020

IET gener. transm. distrib.

Self Cite

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The frequency control is the mandatory task in a modern power system because of load demand variation and the integration of renewable energy sources (RESs). The main objective of automatic generation control (AGC) scheme is to maintain the balance between generation and load demand. This study proposes a graphical robust characteristic ratio assignment (RCRA) approach for PIDA controller tuning based on maximum sensitivity (M s) for AGC. The basic feature of this graphical approach is that characteristic ratios (γ i) in RCRA scheme are calculated in terms of M s. The important part of this design is that the analytical expressions for coefficient gains of PIDA controller are derived in terms of γ i and system parameters. Here, the non-reheat steam-turbine and hydro-turbine based single and multi-area power systems are considered for validation of the proposed control scheme. The critical issue in controller design for a hydro-turbine based power system is the non-minimum phase behaviour. The robustness and performance of RCRA-PIDA controller are examined under system non-linearities, parametric uncertainty and disturbances. Further, the performance of proposed approach is evaluated in the presence of RESs. Finally, it is observed that the proposed control approach performs better in comparison to the recently published control schemes.

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“…where a i , i ∈ 1, n and b j , j ∈ 1, m are the real coefficients, n ≥ m. The target closed-loop characteristic polynomial (P target (s)) is given [29] as…”

Section: Rcra Approachmentioning

confidence: 99%

“…Definition 1: The characteristic ratios (γ i ) and generalised time constant (τ) for 7are defined as [22,29]…”

Section: Rcra Approachmentioning

confidence: 99%

See 2 more Smart Citations

Graphic RCRA‐PIDA tuning based on maximum sensitivity for automatic generation control of thermal and hydro power systems

Kumar

Hote

2020

IET gener. transm. distrib.

Self Cite

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show abstract

“…The dynamics studied are similar to many other physical processes. For example, diesel engine control, air-fuel ratio control in gasoline engines, control of DC-DC converters, continuous stirred tank reactors (CSTR), or micro-electro-mechanical systems (MEMS) [1][2][3][4][5][6][7][8][9]), to name a few.…”

Section: Introductionmentioning

confidence: 99%

A Set of Active Disturbance Rejection Controllers Based on Integrator Plus Dead-Time Models

et al. 2021

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The paper develops and investigates a novel set of constrained-output robust controllers with selectable response smoothing degree designed for an integrator-plus-dead-time (IPDT) plant model. The input-output response of the IPDT system is internally approximated by several time-delayed, possibly higher-order plant models of increasing complexity. Since they all contain a single integrator, the presented approach can be considered as a generalization of active disturbance rejection control (ADRC). Due to the input/output model used, the controller commissioning can be based on a simplified process modeling, similar to the one proposed by Ziegler and Nichols. This allows it to be compared with several alternative controllers commonly used in practice. Its main advantage is simplicity, since it uses only two identified process parameters, even when dealing with more complex systems with distributed parameters. The proposed set of controllers with increasing complexity includes the stabilizing proportional (P), proportional-derivative (PD), or proportional-derivative-acceleration (PDA) controllers. These controllers can be complemented by extended state observers (ESO) for the reconstruction of all required state variables and non-measurable input disturbances, which also cover imperfections of a simplified plant modeling. A holistic performance evaluation on a laboratory heat transfer plant shows interesting results from the point of view of the optimal least sensitive solution with smooth input and output.

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Robust control strategies applicable to DC–DC converter with reliability assessment: A review

Gupta,

Garg

et al. 2024

Adv Control Appl

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This paper provides an overview of various control strategies for DC–DC converters along with a brief discussion on various performance indices for evaluating the reliability of designed controller. DC–DC converters are emerging as the fastest‐growing interfacing devices in the world because of their emergent applications in almost all domains of engineering. Notably, the non‐linear behavior of DC–DC converters offers a perplexing problem in designing a robust controller. A robust controller must ensure proper closed‐loop stability with desired performance and reliable control for output voltage regulation in the event of various possible perturbations. This creates the requirement for practically implementable non‐linear controllers that can effectively overlook the drawbacks of linear controllers. The prominence of this composition is based on the expansion in tuning techniques of proportional‐integral‐derivative controller gain parameters using linear strategies and heading towards non‐linear strategies by reviewing 196 research papers. The modification in non‐linear control strategies in terms of their fundamental features associated with key benefits and limitations are comprehensively reviewed. This study mostly revolves around non‐linear internal model control (IMC) strategies for parameter tuning of IMC‐based controllers for various order of plants with an improved degree of freedom.

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Polynomial Controller Design and Its Application: Experimental Validation on a Laboratory Setup of Nonideal DC–DC Buck Converter

Cited by 8 publications

References 28 publications

Graphic RCRA‐PIDA tuning based on maximum sensitivity for automatic generation control of thermal and hydro power systems

Graphic RCRA‐PIDA tuning based on maximum sensitivity for automatic generation control of thermal and hydro power systems

A Set of Active Disturbance Rejection Controllers Based on Integrator Plus Dead-Time Models

Robust control strategies applicable to DC–DC converter with reliability assessment: A review

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