Survey on methods of increasing the efficiency of extended state disturbance observers

Madoński, Rafał; Herman, Przemysław

doi:10.1016/j.isatra.2014.11.008

Cited by 241 publications

(117 citation statements)

References 62 publications

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“…To estimate u(t − τ ), the ESO (Extended System Observer) technique is used (see [18] for references on this method). To achieve a better accuracy [20], it has been decided to also observeu(t − τ ).…”

Section: B New Delay Observermentioning

confidence: 99%

Interconnected delay and state observer for nonlinear systems with time-varying input delay

Léchappé

Moulay

Plestan

et al. 2016

2016 American Control Conference (ACC)

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Abstract-This work presents a general framework to estimate both state and delay thanks to two interconnected observers. This scheme can be applied to a large class of nonlinear systems with time-varying input delay. In order to illustrate this approach, a new delay observer based on an optimization technique is proposed. Theoretical results are illustrated and compared with existing works in simulation.

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Section: B New Delay Observermentioning

confidence: 99%

Interconnected delay and state observer for nonlinear systems with time-varying input delay

Léchappé

Moulay

Plestan

et al. 2016

2016 American Control Conference (ACC)

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“…IMC has a strong ability to deal with the model-plant mismatch and unmeasured disturbances [5]; however, it is hard to implement in a Distributed Control System (DCS) platform because of computation complexities. In this paper, a data-driven control strategy called Active Disturbance Rejection Control (ADRC) is utilized because of its ability to deal with uncertainties and its ease of use [7,8]. ADRC was originally proposed by Professor Han as a result of long-term thinking about model-based control theory and engineering control cybernetics [9].…”

Section: Introductionmentioning

confidence: 99%

The Facilitation of a Sustainable Power System: A Practice from Data-Driven Enhanced Boiler Control

Sun

et al. 2018

Sustainability

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An increasing penetration of renewable energy may bring significant challenges to a power system due to its inherent intermittency. To achieve a sustainable future for renewable energy, a conventional power plant is required to be able to change its power output rapidly for a grid balance purpose. However, the rapid power change may result in the boiler operating in a dangerous manner. To this end, this paper aims to improve boiler control performance via a data-driven control strategy, namely Active Disturbance Rejection Control (ADRC). For practical implementation, a tuning method is developed for ADRC controller parameters to maximize its potential in controlling a boiler operating in different conditions. Based on a Monte Carlo simulation, a Probabilistic Robustness (PR) index is subsequently formulated to represent the controller's sensitivity to the varying conditions. The stability region of the ADRC controller is depicted to provide the search space in which the optimal group of parameters is searched for based on the PR index. Illustrative simulations are performed to verify the efficacy of the proposed method. Finally, the proposed method is experimentally applied to a boiler's secondary air control system successfully. The results of the field application show that the proposed ADRC based on PR can ensure the expected control performance even though it works in a wider range of operating conditions. The field application depicts a promising future for the ADRC controller as an alternative solution in the power industry to integrate more renewable energy into the power grid.

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“…In order to develop more advanced control methods to deal with this issue, many approaches have been proposed for last two decades, including fuzzy logics (FL) [1][2][3][4][5][6], sliding mode techniques [1,[7][8][9][10][11][12][13][14], a compensator design for UAD [15][16][17], and hybrid control methods [18][19][20][21][22][23]. Among those, the sliding mode control (SMC) is recognized as one of the best control techniques for control systems subjected to UAD.…”

Section: Introductionmentioning

confidence: 99%

A New Fuzzy Sliding Mode Controller with a Disturbance Estimator for Robust Vibration Control of a Semi-Active Vehicle Suspension System

Song

Choi

2017

Applied Sciences

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This paper presents a new fuzzy sliding mode controller (FSMC) to improve control performances in the presence of uncertainties related to model errors and external disturbance (UAD). As a first step, an adaptive control law is designed using Lyapunov stability analysis. The control law can update control parameters of the FSMC with a disturbance estimator (DE) in which the closed-loop stability and finite-time convergence of tracking error are guaranteed. A solution for estimating the compensative quantity of the impact of UAD on a control system and a set of solutions are then presented in order to avoid the singular cases of the fuzzy-based function approximation, increase convergence ability, and reduce the calculating cost. Subsequently, the effectiveness of the proposed controller is verified through the investigation of vibration control performances of a semi-active vehicle suspension system featuring a magnetorheological damper (MRD). It is shown that the proposed controller can provide better control ability of vibration control with lower consumed power compared with two existing fuzzy sliding mode controllers.

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Survey on methods of increasing the efficiency of extended state disturbance observers

Cited by 241 publications

References 62 publications

Interconnected delay and state observer for nonlinear systems with time-varying input delay

Interconnected delay and state observer for nonlinear systems with time-varying input delay

The Facilitation of a Sustainable Power System: A Practice from Data-Driven Enhanced Boiler Control

A New Fuzzy Sliding Mode Controller with a Disturbance Estimator for Robust Vibration Control of a Semi-Active Vehicle Suspension System

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