Submit to Energies Review for Energies Propose a Special Issue

Journal Browser

► Journal Browser

Adaptive Fuzzy Control

Print Special Issue Flyer
Special Issue Editors
Special Issue Information
Keywords
Published Papers

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (15 August 2019) | Viewed by 24510

Share This Special Issue

Special Issue Editors

Prof. Dr. Valentina E. Balas

E-Mail Website
Guest Editor

Automatics and Applied Software Department, Aurel Vlaicu University of Arad, 310130 Arad, Romania
Interests: intelligent systems; soft computing; fuzzy control; modeling and simulation; biometrics
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Tsung-Chih Lin

E-Mail Website
Guest Editor

Department of Electronic Engineering, Feng Chia University, Taichung, Taiwan
Interests: fuzzy control; nonlinear systems; modeling and simulations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to present the state-of-the-art results in the area of adaptive intelligent control theory and applications. Adaptive control is a technique of applying some methods to obtain a model of the process and using this model to design a controller. Especially, fuzzy adaptive control has been an important area of active research. Significant developments have been seen, including theoretical success and practical design. One of the reasons for the rapid growth of fuzzy adaptive control is its ability to control plants with uncertainties during its operation.

The papers in this Special Issue will present the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, and nonlinear intelligent adaptive control techniques. This Special Issue aims to provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures, and applications of hybrid and adaptive systems.

The main aim of this Special Issue is to organize a forum to provide innovative approaches to handle various fuzzy controllers, adaptive control strategies, time-delay nonlinear systems, cooperative control, and hybrid intelligent control. We want to offer an opportunity for researchers and practitioners to identify new promising research directions in this area.

Prof. Dr. Valentina E. Balas
Prof. Dr. Tsung-Chih Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

Fuzzy self-organizing controllers
Adaptive fuzzy control design
Fuzzy applications
Fuzzy modeling and simulation
Fuzzy model reference learning controller
Hybrid adaptive fuzzy control
Robust adaptive fuzzy control
Adaptive fuzzy sliding-mode control
Time-delay nonlinear systems
Adaptive and learning control theory
Adaptive control of processes
Data based auto-tuning of the controller
Estimation and identification and their application to control design
Cooperative control
Hybrid intelligent control

Published Papers (7 papers)

Download All Papers

Research

18 pages, 4624 KiB

Open AccessArticle

Derivative-Free Direct Search Optimization Method for Enhancing Performance of Analytical Design Approach-Based Digital Controller for Switching Regulator

by Ghulam Abbas, Muhammad Qumar Nazeer, Valentina E. Balas, Tsung-Chih Lin, Marius M. Balas, Muhammad Usman Asad, Ali Raza, Muhammad Naeem Shehzad, Umar Farooq and Jason Gu

Energies 2019, 12(11), 2183; https://doi.org/10.3390/en12112183 - 07 Jun 2019

Cited by 4 | Viewed by 2997

Abstract

Although an analytical design approach-based digital controller—which is essentially a deadbeat controller—shows zero steady-state error and no intersampling oscillations, it takes a finite number of sampling periods to settle down to a steady-state value. This paper describes the application of a derivative-free Nelder–Mead (N–M) simplex method to the digital controller for retuning of its coefficients intelligently to ensure improved settling and rise times without disturbing the deadbeat controller characteristics (i.e., no ripples between the sampling periods and no steady-state error). A switching-mode buck regulator working at 1 MHz in continuous conduction mode (CCM) is considered as a plant. Numerical simulation results depict that the N–M algorithm-based optimized digital controller not only shows improved steady-state and transient performance but also guarantees rigorous robustness against model uncertainty and disturbance as compared to its traditional counterpart, as well as the other optimized digital controller fine-tuned through other derivative-free metaheuristic optimization techniques, such as the genetic algorithm (GA). A system generator-based hardware software co-simulation is also performed to validate the simulation results. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

22 pages, 7301 KiB

Open AccessArticle

ANFTS Mode Control for an Electronically Controlled Hydraulic Power Steering System on a Permanent Magnet Slip Clutch

by Guoqing Geng, Qingyuan Shen and Haobin Jiang

Energies 2019, 12(9), 1739; https://doi.org/10.3390/en12091739 - 08 May 2019

Cited by 6 | Viewed by 4556

Abstract

There are various uncertain factors such as parameter perturbation and external disturbance during the steering process of a permanent magnet slip clutch electronically controlled hydraulic power steering system (P-ECHPS) of medium and heavy duty vehicles, which is an electronically controlled hydraulic power steering system based on a permanent magnetic slip clutch (PMSC). In order to avoid the immutable single assistance characteristic of a hydraulic power steering system, a PMSC speed-controlled model and P-ECHPS of each subsystem model were studied. Combined with non-singular terminal sliding mode and fast terminal sliding mode, an Adaptive Non-singular Fast Terminal Sliding (ANFTS) mode control strategy was proposed to control precisely the rotor speed of the PMSC in P-ECHPS, thus achieving better power control for the entire P-ECHPS system. The simulation results show that adaptive nonsingular fast terminal sliding mode control enables PMSC output speed to track the target speed. Compared with the non-singular terminal sliding mode control and the ordinary sliding mode control, the convergence speed has been improved by 66.7% and 84.2%, respectively. The rapid control prototype test of PMSC based on dSPACE (dSPACE is a development and verification platform based on MATLAB/Simulink software.) was carried out. The validity of the adaptive NFTSM algorithm and the correctness of the offline simulation results are validated. The adaptive NFTSM algorithm have better robustness and can realize variable assist characteristics and save energy. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

30 pages, 403 KiB

Open AccessArticle

Multi-Criteria Decision-Making under mHF ELECTRE-I and HmF ELECTRE-I

by Arooj Adeel, Muhammad Akram and Ali N.A. Koam

Energies 2019, 12(9), 1661; https://doi.org/10.3390/en12091661 - 01 May 2019

Cited by 26 | Viewed by 2849

Abstract

In a few years, hesitant fuzzy sets (HFSs) have had an impact on several different areas of decision science. However, a number of researches have utilized the Elimination and choice translating reality (ELECTRE) methods to determine the multi-criteria decision-making (MCDM) problems with hesitant information. The aim of this research article is to develop new multi-criteria group decision-making (MCGDM) methods, such as the m-polar hesitant fuzzy ELECTRE-I (mHF ELECTRE-I) method and hesitant m-polar fuzzy ELECTRE-I (HmF ELECTRE-I) method. Proposed MCGDM techniques based on the hybrid models, m-polar hesitant fuzzy sets (mHFS-sets) and hesitant m-polar fuzzy sets (HmF-sets), which are the natural generalizations of HFSs and m-polar fuzzy sets (mF sets). These models enable us to deal with multipolar information under hesitancy. We use the proposed methods to deal the complex problems in which the membership degree of an element of given set uses the m different numeric and fuzzy values, to rank all the alternatives and to determine the best alternative. We present two practical examples that illustrate the procedure of the proposed methods. We also discuss the differences and comparative analysis of the proposed methods. Finally, we develop an algorithm that implements our decision-making procedures by using computer programming. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

17 pages, 6552 KiB

Open AccessArticle

A Single-Phase Buck and Boost AC-to-AC Converter with Bipolar Voltage Gain: Analysis, Design, and Implementation

by Naveed Ashraf, Tahir Izhar, Ghulam Abbas, Valentina E. Balas, Marius M. Balas, Tsung-Chih Lin, Muhammad Usman Asad, Umar Farooq and Jason Gu

Energies 2019, 12(7), 1376; https://doi.org/10.3390/en12071376 - 10 Apr 2019

Cited by 14 | Viewed by 3244

Abstract

In this research, a new single-phase direct AC-to-AC converter, operating in buck and boost mode, with a bipolar voltage gain, is proposed. The operation is accomplished through high frequency direct and indirect PWM control of a single switch with low voltage stresses. This reduces, not only the control effort, but also the switching losses. The low voltage stresses across the high frequency switches, reduce the dv/dt problem significantly without any loss and bulky voltage snubber arrangement. The operation, in its all-operating modes, has a low inductor ripple current and switching current. The proposed converter may be employed as an AC voltage restorer in a power distribution system to cope with the voltage sag and swell issues. The detailed analysis of the proposed converter is carried out in order to compare its performance with the existing converters. The simulation results obtained using the MATLAB/Simulink environment are verified through experimental results. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

18 pages, 1037 KiB

Open AccessArticle

Wake Management in Wind Farms: An Adaptive Control Approach

by Harsh S. Dhiman, Dipankar Deb, Vlad Muresan and Valentina E. Balas

Energies 2019, 12(7), 1247; https://doi.org/10.3390/en12071247 - 01 Apr 2019

Cited by 20 | Viewed by 3449

Abstract

Advanced wind measuring systems like Light Detection and Ranging (LiDAR) is useful for wake management in wind farms. However, due to uncertainty in estimating the parameters involved, adaptive control of wake center is needed for a wind farm layout. LiDAR is used to track the wake center trajectory so as to perform wake control simulations, and the estimated effective wind speed is used to model wind farms in the form of transfer functions. A wake management strategy is proposed for multi-wind turbine system where the effect of upstream turbines is modeled in form of effective wind speed deficit on a downstream wind turbine. The uncertainties in the wake center model are handled by an adaptive PI controller which steers wake center to desired value. Yaw angle of upstream wind turbines is varied in order to redirect the wake and several performance parameters such as effective wind speed, velocity deficit and effective turbulence are evaluated for an effective assessment of the approach. The major contributions of this manuscript include transfer function based methodology where the wake center is estimated and controlled using LiDAR simulations at the downwind turbine and are validated for a 2-turbine and 5-turbine wind farm layouts. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

18 pages, 1041 KiB

Open AccessFeature PaperArticle

MonLink: Piggyback Status Monitoring over LLDP in Software-Defined Energy Internet

by Xi Chen, Yue Chen, Arun Kumar Sangaiah, Shouxi Luo and Hongfang Yu

Energies 2019, 12(6), 1147; https://doi.org/10.3390/en12061147 - 25 Mar 2019

Cited by 1 | Viewed by 2812

Abstract

While software-defined networking (SDN) has been widely applied in various networking domains including datacenters, WANs (Wide Area Networks), QoS (Quality of Service) provisioning, service function chaining, etc., it also has foreseeable applications in energy internet (EI), which envisions an intelligent energy industry on the basis of (information) internet. Global awareness provided by SDN is especially useful in system monitoring in EI to achieve optimal energy transportation, sharing, etc. Link layer discovery protocol (LLDP) plays a key role in global topology discovery in software-defined energy internet when SDN is applied. Nevertheless, EI-related status information (power loads, etc.) is not collected during the LLDP-based topology discovery process initiated by the SDN controller, which makes the optimal decision making (e.g., efficient energy transportation and sharing) difficult. This paper proposes MonLink, a piggyback status-monitoring scheme over LLDP in software-defined energy internet with SDN-equipped control plane and data plane. MonLink extends the original LLDP by introducing metric type/length/value (TLV) fields so as to collect status information and conduct status monitoring in a piggyback fashion over LLDP during topology discovery simultaneously without the introduction of any newly designed dedicated status monitoring protocol. Several operation modes are derived for MonLink, namely, periodic MonLink, which operates based on periodic timeouts, proactive MonLink, which operates based on explicit API invocations, and adaptive MonLink, which operates sensitively and self-adaptively to status changes. Various northbound APIs are also designed so that upper layer network applications can make full use of the status monitoring facility provided by MonLink. Experiment results indicate that MonLink is a lightweight protocol capable of efficient monitoring of topological and status information with very low traffic overhead, compared with other network monitoring schemes such as sFlow. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

15 pages, 8618 KiB

Open AccessArticle

Simulation, Fuzzy Analysis and Development of ZnO Nanostructure-based Piezoelectric MEMS Energy Harvester

by Basit Ali, Muhammad Waseem Ashraf and Shahzadi Tayyaba

Energies 2019, 12(5), 807; https://doi.org/10.3390/en12050807 - 28 Feb 2019

Cited by 18 | Viewed by 3562

Abstract

Fuzzy logic-based control systems are widely used in various fields like home appliances, medical instruments, automobiles, textile machinery, agriculture equipment and aviation for process control and data analysis. Fuzzy logic technique has shown great potential to solve the complex problems of physical world due to similarity with human understanding. Its advancements have gained widespread attention in different research areas. In several cases, it is very suitable for electronic devices which need to be precisely self-powered. In this work, an ANSYS-based simulation, fuzzy analysis, development and testing of a microelectromechanical system (MEMS)-based energy harvester have been presented. Zinc oxide (ZnO) nano rods were synthesized on an anodic aluminum oxide (AAO) template to form the MEMS energy harvester and study the effect of energy generation by applying force. The power of 5.16 nano Watts has been obtained by taking the numerical value of voltage (V_oc) and current (I_sc) as 3.16 mV and 0.985 µA respectively using fuzzy logic tool. Experimental testing of the harvester shows that the range of V_oc is 3–6.4 mV and I_sc is 0.45–1.5 μA. The results depict that this device can be used for touch screens to generate energy that can be further utilized for charging smart devices. Full article

(This article belongs to the Special Issue Adaptive Fuzzy Control)

► Show Figures

Figure 1

Journal Menu

Journal Browser

Adaptive Fuzzy Control

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (7 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI