Fuzzy regression model based on geometric coordinate points distance and application to performance evaluation

Guo, Yu; Yang, Shuxin; Ma, H.; Ge, Min

doi:10.3233/jifs-171433

Cited by 9 publications

(3 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RLS identification technique is a well-known estimator owing to its prominent benefits, namely: easy implementation, high efficiency in real-time operations, dynamical adaptability, and low memory capacity [35]. Equation (12) shows the cost function of RLS technique.…”

Section: Rls Identification Processmentioning

confidence: 99%

“…However, for the second scheme, a closed‐loop control strategies have been introduced [7]. However, the following advanced controllers are used based on the switching properties of Inverters: deadbeat technique [8], sliding‐mode control [9, 10], and fuzzy‐based structure [11–14]. The most significant aspect of deadbeat, sliding‐mode, and fuzzy‐based controllers is the provision of an output result without overshoot and ringing.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Generalised predictive controller (GPC) design on single‐phase full‐bridge inverter with a novel identification method

Memeghani

Ghamari

Jouybari

et al. 2022

IET Control Theory & Appl

View full text Add to dashboard Cite

The design of an on-line generalised predictive control (GPC) technique with a novel identification method is presented in this paper for a single-phase full-bridge inverter in the presence of different disturbances. The controller uses system discrete-time model to reach the control variables with a prediction over these values, followed by computing a cost function for control aims. However, in this controller, the need for the mathematical model of the system is removed since the black-box identification strategy is used. Moreover, GPC structure has many advantages including low computational complexity, systematic design procedure, and fixed switching frequency that makes it a good alternative for practical applications. Various disturbances can have a negative impact on a DC-AC inverter; thus, considering robust dynamics and ease of implantation, the GPC scheme is used along with an improved exponential regressive least square identification algorithm as an adaptive strategy in the controller. Moreover, the prediction horizons of this controller have been increased, resulting in its low steady-state error and better performance. Furthermore, harmonics in the sinusoidal signal can decrease the total efficiency of the system; thus, an LC filter is used to reduce the level of total harmonic distortion. However, the stability of the filter is the most challenging issue in designing a suitable controller. Finally, the strength of the current controller is verified using experimental and simulations results. INTRODUCTIONNowadays, power inverters are utilised in connecting renewable energy sources for power generation. Single-phase inverters are well-known and used in various industrial applications. A DC-AC H-bridge voltage source inverter (VSI) topology is selected here to feed different linear loads [1,2]. The generated sinusoidal waveform of an inverter must have a constant amplitude and frequency with a minimal rate of THD. To limit the THD level, various filters are suggested including LLCL, L, LC, and LCL. In fact, characteristics of the LC-type filter, make it can be the most suitable one for stand-alone structures (load connected) [3][4][5][6]. Stability proof of the filter is the primary concern which can harm system dynamics; thus, two strategies were presented for this challenge: passive and active damping schemes.In passive damping strategy, the inductor is modelled with a series resistor, while total system efficiency can be affected. However, for the second scheme, a closed-loop control strategies have been introduced [7]. However, the following This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Section: Rls Identification Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generalised predictive controller (GPC) design on single‐phase full‐bridge inverter with a novel identification method

Memeghani

Ghamari

Jouybari

et al. 2022

IET Control Theory & Appl

View full text Add to dashboard Cite

show abstract

“…Generally, different identification approaches are presented to get the estimated parameters values of the system, but the RLS method is used based on some good points such as small memory capacity needed, significant modification ability into real‐time algorithms, good ability in fault detection to detect if any changes have happened on the system and capability of improving algorithm based on the dynamical requirement. Some of the papers presented by this identification method are presented by the authors of [32–35] which illustrate the substantial performance of this method. In (5), the introduction of the cost function is presented [36]

\begin{matrix} 1em4pt \\ \begin{aligned} J & = \frac{1}{N} {false\sum}_{n = 1}^{N} e^{normalT} (k) e (k) \\ e false(t false) & = y false(k false) - \hat{y} false(k false) \end{aligned} \end{matrix}

where e ( t ) is the error function.…”

Section: Current Controllermentioning

confidence: 99%

Design of robust self‐tuning regulator adaptive controller on single‐phase full‐bridge inverter

Ghamari

Mollaee

Khavari

2020

IET power electron.

View full text Add to dashboard Cite

Estimates of residential building energy consumption using a multi-verse optimizer-based support vector machine with k-fold cross-validation

2019

View full text Add to dashboard Cite

Fuzzy regression model based on geometric coordinate points distance and application to performance evaluation

Cited by 9 publications

References 48 publications

Generalised predictive controller (GPC) design on single‐phase full‐bridge inverter with a novel identification method

Generalised predictive controller (GPC) design on single‐phase full‐bridge inverter with a novel identification method

Design of robust self‐tuning regulator adaptive controller on single‐phase full‐bridge inverter

Estimates of residential building energy consumption using a multi-verse optimizer-based support vector machine with k-fold cross-validation

Contact Info

Product

Resources

About