High-precision tracking differentiator via generalized discrete-time optimal control
An enhanced discrete-time tracking differentiator (TD) with high precision based on discrete-time optimal control (DTOC) law is proposed. This law takes the form of state feedback for a double-integral system that adopts the Isochronic Region approach. There, the control signal sequence is determine...
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sg-ntu-dr.10356-1447872023-03-05T16:28:27Z High-precision tracking differentiator via generalized discrete-time optimal control Zhang, Hehong Xie, Yunde She, Longhua Zhai, Chao Xiao, Gaoxi Interdisciplinary Graduate School (IGS) School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Tracking Differentiator Discrete-time Optimal Control An enhanced discrete-time tracking differentiator (TD) with high precision based on discrete-time optimal control (DTOC) law is proposed. This law takes the form of state feedback for a double-integral system that adopts the Isochronic Region approach. There, the control signal sequence is determined by a linearized criterion based on the position of the initial state point on the phase plane. The proposed control law can be easily extended to the TD design problem by combining the first-state variable of the double-integral system with the desired trajectory. To improve the precision of the discretization model, we introduced a zero-order hold on the control signal. We also discuss the general form of DTOC law by analysing the relationship between boundary transformations and boundary characteristic points. After comparing the simulation results from three different TDs, we determined that this new TD achieves better performance and higher precision in signal-tracking filtering and differentiation acquisition than do existing TDs. Also the comparisons of the computational complexities between the proposed DTOC law and normal one are demonstrated. For confirmation of its utility, we processed raw phasor measurement units data via the proposed TD. In the absence of complex power system modelling and historical data, it was verified that the proposed TD is suitable for applications of real-time synchrophasor estimations, especially when the states are corrupted by noise. Ministry of Education (MOE) National Research Foundation (NRF) Accepted version This study is an outcome of the Future Resilient System (FRS) project at the Singapore-ETH Centre (SEC), which is funded by the National Research Foundation of Singapore (NRF) under its Campus for Research Excellence and Technological Enterprise (CREATE) program. Part of this work is also supported by the Ministry of Education (MOE), Singapore, under Contract MOE 2016-T2-1-119. 2020-11-24T06:47:52Z 2020-11-24T06:47:52Z 2019 Journal Article Zhang, H., Xie, Y., She, L., Zhai, C., & Xiao, G. (2019). High-precision tracking differentiator via generalized discrete-time optimal control. ISA Transactions, 95, 144–151. doi:10.1016/j.isatra.2019.05.002 0019-0578 https://hdl.handle.net/10356/144787 10.1016/j.isatra.2019.05.002 31122694 95 144 151 en ISA transactions © 2019 ISA. All rights reserved. This paper was published by Elsevier Ltd in ISA transactions and is made available with permission of ISA. application/pdf |
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Engineering::Electrical and electronic engineering Tracking Differentiator Discrete-time Optimal Control Zhang, Hehong Xie, Yunde She, Longhua Zhai, Chao Xiao, Gaoxi High-precision tracking differentiator via generalized discrete-time optimal control |
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An enhanced discrete-time tracking differentiator (TD) with high precision based on discrete-time optimal control (DTOC) law is proposed. This law takes the form of state feedback for a double-integral system that adopts the Isochronic Region approach. There, the control signal sequence is determined by a linearized criterion based on the position of the initial state point on the phase plane. The proposed control law can be easily extended to the TD design problem by combining the first-state variable of the double-integral system with the desired trajectory. To improve the precision of the discretization model, we introduced a zero-order hold on the control signal. We also discuss the general form of DTOC law by analysing the relationship between boundary transformations and boundary characteristic points. After comparing the simulation results from three different TDs, we determined that this new TD achieves better performance and higher precision in signal-tracking filtering and differentiation acquisition than do existing TDs. Also the comparisons of the computational complexities between the proposed DTOC law and normal one are demonstrated. For confirmation of its utility, we processed raw phasor measurement units data via the proposed TD. In the absence of complex power system modelling and historical data, it was verified that the proposed TD is suitable for applications of real-time synchrophasor estimations, especially when the states are corrupted by noise. |
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Interdisciplinary Graduate School (IGS) |
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Interdisciplinary Graduate School (IGS) Zhang, Hehong Xie, Yunde She, Longhua Zhai, Chao Xiao, Gaoxi |
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Article |
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Zhang, Hehong Xie, Yunde She, Longhua Zhai, Chao Xiao, Gaoxi |
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Zhang, Hehong |
title |
High-precision tracking differentiator via generalized discrete-time optimal control |
title_short |
High-precision tracking differentiator via generalized discrete-time optimal control |
title_full |
High-precision tracking differentiator via generalized discrete-time optimal control |
title_fullStr |
High-precision tracking differentiator via generalized discrete-time optimal control |
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High-precision tracking differentiator via generalized discrete-time optimal control |
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high-precision tracking differentiator via generalized discrete-time optimal control |
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2020 |
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https://hdl.handle.net/10356/144787 |
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1759853840934371328 |