Online tuning fuzzy PID controller using robust extended Kalman filter

Ahn, Kyoung Kwan; Dinh, Truong Quang

doi:10.1016/j.jprocont.2009.01.005

Cited by 146 publications

(59 citation statements)

References 16 publications

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“…The computational cost of their filter, however, depends on the sampling interval and the input frequency. Stochastic filters, such as Kalman filter [4][5][6][7], can be useful in some applications. They, however, require a dynamics model of the source of the signal, which is not always obtained, and their performance depends on the accuracy of the model.…”

Section: Introductionmentioning

confidence: 99%

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Jin

Kikuuwe

Yamamoto

2012

Journal of Control Science and Engineering

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This paper presents the results of quantitative performance evaluation of an authors' new parabolic sliding mode filter, which is for removing noise from signals in robotics and mechatronics applications, based on the frequency and time domain characteristics. Based on the evaluation results, the paper presents selection guidelines of two parameters of the filter. The evaluation results show that, in the frequency domain, the noise removing capability of the filter is almost the same as that of the second-order Butterworth low-pass filter (2-LPF), but its phase lag is smaller (maximum 150 degree) than that of 2-LPF (maximum 180 degree). Moreover, the filter produces smaller phase lag than a conventional parabolic sliding mode filter with appropriate selection of the parameters. In the time domain, the filter produces smaller overshoot than 2-LPF and the conventional one, while maintaining short transient time, by using an appropriately selected parameter. The presented parameter selection guidelines state that the values of the parameters should be chosen according to some estimated characteristics of the input and some desired characteristics of the output. The effectiveness of the filter and the presented guidelines is validated through numerical examples and their application to a closed-loop, force control of a robot manipulator.

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Section: Introductionmentioning

confidence: 99%

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Jin

Kikuuwe

Yamamoto

2012

Journal of Control Science and Engineering

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“…Bu doğrusal olmayan dönüşüm, modelleme hatası veya belirsizlik gibi durumlarda istenen kontrol performanslarının erişilebilir olmasını sağlamaktadır. Literatürde bulanık -PD, -PI ve -PID gibi farklı bulanık kontrolör yapıları sunulmuş ve başarılı uygulamaları sergilenmiştir [4]- [9].…”

Section: Bulanık Pid Kontrolörlerinin Yapısıunclassified

Interval type-2 fuzzy PID controllers and an online self-tuning mechanism

Kumbasar¹

2016

Pamukkale J Eng Sci

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“…In this domain MATLAB/Simulink remains the most commonly used software. For those reasons, these two tools are regularly used together like in [3]- [5]. To benefit from the advantages of these two tools, a coupling approach has been selected.…”

Section: B Modeling Approachmentioning

confidence: 99%

“…A brief look at the magnitude of the Bode diagrams allows assessing the impact of the inputs on the different outputs in open-loop as in (3). The system is apparently row diagonally dominant at all frequency ranges [12].…”

Section: A Analysismentioning

confidence: 99%

Modeling and Analysis of a Turbojet Fuel System

Brun¹,

Godoy²,

Beauvois³

et al. 2014

IJCTE

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Abstract-The aim of this paper is to study a new concept of fuel system of a turbojet, to design its control system and to validate its behavior using simulation. AMESim is used to represent the physical system and Simulink has been adopted for the implementation of the control laws. A multi-loop PID strategy is then selected. Simulation tools and different methods of their couplings, including exchange, cosimulation and FMI are benchmarked to find which strategy is the best suitable.

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Online tuning fuzzy PID controller using robust extended Kalman filter

Cited by 146 publications

References 16 publications

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Parameter Selection Guidelines for a Parabolic Sliding Mode Filter Based on Frequency and Time Domain Characteristics

Interval type-2 fuzzy PID controllers and an online self-tuning mechanism

Modeling and Analysis of a Turbojet Fuel System

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