Delay-dependent guaranteed-cost control based on combination of Smith predictor and equivalent-input-disturbance approach

Gao, Fang; Wu, Min; She, Jinhua; He, Yong

doi:10.1016/j.isatra.2016.02.008

Cited by 47 publications

(32 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…12 One of the important challenges in the WAMS' design is the time delays produced by communication systems while sending the input signal to the WADC. 13 It has been presented different methods in literature to compensate the time delays, such as: first-and second-order Pade approximation, 14,15 smith's predictor technique, 16,17 phase shifting method, 18 recurrent neural networks, 19 model identification method, 20 model predictive control (MPC), 21 and network predictive control. 22 In the MPC, due to system's linearization around the operating point, the compensation of delay may fail.…”

Section: Discussionmentioning

confidence: 99%

Hierarchical damping controller design in large‐scale power systems including hybrid renewable energy sources for compensation of time delays

Ashouri

Bagheri

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary The main purpose of this article is to design a wide‐area damping controller (WADC) considering time delay compensator (TDC) in large‐scale power systems in the presence of renewable energy sources. The TDC is designed to create an opportunity for compensation of uncertainty caused by the phase delay. Then, considering the retrieved uncertainty, H∞/H2 synthesis method is used to make robust the WADC so that the controller can compensate long and continuous delays. This design is done for two hybrid renewable energy systems (HRESs) connected to a 16‐machine, 68‐bus power system. The first HRES includes photovoltaic and permanent magnet synchronous generator (PMSG) fields in which a super‐capacitor‐based energy storage system is used in the DC link in order to improve the oscillations of the injected power resulted from the variations of wind speed and solar irradiation. The second HRES includes offshore wind farm and shore wind farm with double‐fed induction generator units, and also, offshore tidal farm with PMSG units. This HRES delivers its generated power to the system through a high voltage direct current (HVDC) line. The design of the damping controller is implemented based on WADC and local control on HVDC and super capacitor converter. The simulations have been carried out in different scenarios in the MATLAB environment to demonstrate the robustness of the proposed approach.

show abstract

Section: Discussionmentioning

confidence: 99%

Hierarchical damping controller design in large‐scale power systems including hybrid renewable energy sources for compensation of time delays

Ashouri

Bagheri

2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The simulation results were shown in Table 1. These showed that the developed system achieved a better disturbance‐rejection performance than the HGEO‐based systems which did not consider the effect of the input‐delay on disturbance‐rejection performance. Example 2 We applied the developed method to the following plant for comparison:

({, \begin{matrix} left1em4pt \\ A = (][, \begin{matrix} 1em4pt \\ - 2 & 0 \\ 4 & - 5 \end{matrix}), B = (][, \begin{matrix} 1em4pt \\ 4 \\ 0 \end{matrix}), h = 0.16, \\ B_{d} = (][, \begin{matrix} 1em4pt \\ 1 \\ 1.2 \end{matrix}), C = (][, \begin{matrix} 1em4pt \\ 5 & 1.2 \end{matrix}), u_{0} (τ) = 0 . \end{matrix})

which was given in [9]. The uncertainties were

({, \begin{matrix} left1em4pt \\ M = (][, \begin{matrix} 1em4pt \\ 1 & 0 \\ 0 & 1 \end{matrix}), N_{A} = (][, \begin{matrix} 1em4pt \\ - 0.5 & 0.7 \\ 0.8 & - 0.9 \end{matrix}) \\ N_{B} = (][, \begin{matrix} 1em4pt \\ 0.1 \\ 0.3 \end{matrix}), E false(t false) = (][, \begin{matrix} 1em4pt \\ \sin π t & 0 \\ 0 & \sin π t \end{matrix}) \end{matrix})

The reference input and disturbance were considered as follows:

r false(t false) = 1000 \times 1 false(t false) .

d false(t false) = ({, \begin{matrix} 1em4pt \\ \begin{array}{l} 15 \times false(\sin 2 π t + \cos 1.5 ... \end{array} \end{matrix})

…”

Section: Simulation and Analysismentioning

confidence: 99%

“…Some modified SP methods ([7, 8] and references therein) were developed, which were able to tackle periodic disturbances. The SP integrated with the equivalent‐input‐disturbance (EID) approach was applied to deal with disturbances in an input‐delay system [9]. However, the system structure was complicated and the design algorithm involved a non‐linear matrix inequality.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of disturbance‐rejection performance of uncertain input‐delay systems: a disturbance predictor approach

She

et al. 2018

IET Control Theory & Applications

Self Cite

View full text Add to dashboard Cite

“…The EID method has been successfully applied to standard state-space systems to prove its excellent disturbance-rejection performance by using state-feedback control technique, such as linear systems [22], [23], time-delay systems [27], [28], and nonlinear systems [29], [30]. However, in control engineering practice, the reliability and the cost of implementation control of the system must be considered.…”

Section: Introductionmentioning

confidence: 99%

Robust Disturbance Rejection in Uncertain Singular Systems Using Equivalent-Input-Disturbance Method Based on Output Feedback Control

2020

Self Cite

View full text Add to dashboard Cite

A robust disturbance-rejection problem for an uncertain singular system is considered in this paper. An equivalent-input-disturbance (EID) method is applied to improve disturbance-rejection performance. At first, the disturbance estimation is obtained by the EID method; Then, the disturbance estimation is compensation to the control input channel to offset the adverse effect of external disturbance and uncertainties on the system. Two sufficient and necessary conditions using linear matrix inequality are obtained, which can guarantee the admissibility (regularity, non-impulsiveness, and stability) for the closed-loop control system. In addition, output-feedback control laws (static, dynamic) and observer gain are obtained using the singular value decomposition method. A numerical example and simulation studies prove the validity and feasibility of the presented method. INDEX TERMS linear matrix inequality; uncertain singular system; equivalent input disturbance (EID); output-feedback control laws.

show abstract

Delay-dependent guaranteed-cost control based on combination of Smith predictor and equivalent-input-disturbance approach

Cited by 47 publications

References 21 publications

Hierarchical damping controller design in large‐scale power systems including hybrid renewable energy sources for compensation of time delays

Hierarchical damping controller design in large‐scale power systems including hybrid renewable energy sources for compensation of time delays

Enhancement of disturbance‐rejection performance of uncertain input‐delay systems: a disturbance predictor approach

Robust Disturbance Rejection in Uncertain Singular Systems Using Equivalent-Input-Disturbance Method Based on Output Feedback Control

Contact Info

Product

Resources

About