2020
DOI: 10.1109/tie.2019.2908592
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A Tuning Method of Active Disturbance Rejection Control for a Class of High-Order Processes

Abstract:  This paper aims to propose a quantitative tuning method for active disturbance rejection control (ADRC) that controls the K/(Ts+1) n-type high-order processes. An asymptote in the Nyquist curve has been observed for the first time and its mathematical expression has been deduced. An asymptote condtion is provided in order to derive a parameter tuning rule under the sensitivity constraint. Although this proposed tuning rule is originally designed for a certain type of high-order processes, it can be extended … Show more

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Cited by 63 publications
(38 citation statements)
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“…Generally speaking, as for the control of SST, the hybrid ADRC is able to obtain satisfactory control performance and has simpler control structure than the cascade control strategy. Eventually, we make a comparison of our contributions in this work with those in [4,24,33]. New contributions are summarized as follows:…”
Section: Experiments On the Power Plant Simulatormentioning
confidence: 99%
See 2 more Smart Citations
“…Generally speaking, as for the control of SST, the hybrid ADRC is able to obtain satisfactory control performance and has simpler control structure than the cascade control strategy. Eventually, we make a comparison of our contributions in this work with those in [4,24,33]. New contributions are summarized as follows:…”
Section: Experiments On the Power Plant Simulatormentioning
confidence: 99%
“…All the SST control systems in [4,24,33] are cascade control systems. However, the SST control based on the hybrid ADRC is a single-loop control system which has the simpler structure.…”
Section: Experiments On the Power Plant Simulatormentioning
confidence: 99%
See 1 more Smart Citation
“…In contrast to model-based control methods, active disturbance rejection control (ADRC), due to its low dependence on model accuracy, satisfactory disturbance rejection performance and simple tuning procedure [1], has developed rapidly in recent years and been applied to a wide range of industrial applications (e.g., [2] [3] [4]).…”
Section: Introductionmentioning
confidence: 99%
“…To solve the first and second two problems, we replace the LESO with low power extended state observer (LPESO), which was proposed separately in [11] and [12]. The LPESO, with parameters no larger than w 2 o (w o ≫ 1), possesses outstanding high-frequency measurement noise attenuation while preserves the same exponential errordecay speed of LESO [12]. In the current paper, we will study it further by analyzing the performance recovery of it via perturbation theory.…”
Section: Introductionmentioning
confidence: 99%