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Study on Differential Assist Steering System with Double In-Wheel Motors with Intelligent Controller

Qiang Li, Xiao-li Yu, Hua Zhang, Rui Huang
2015 Mathematical Problems in Engineering  
Secondly, genetic algorithm is used to optimize the control decision-making rules of fuzzy controller.  ...  The purpose of this paper is to present a novel controller of differential assist steering system.  ...  This paper tries to design a novel electric controller module for differential assist steering system by combining fuzzy control strategy with genetic algorithm method.  ... 
doi:10.1155/2015/910230 fatcat:4apwpxjz3bdijfm27e4ydv6whe

An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition

Amin Ghobadpour, Hossein Mousazadeh, Sousso Kelouwani, Nadjet Zioui, Mohsen Kandidayeni, Loïc Boulon
2021 IET Electrical Systems in Transportation  
Then, a control strategy based on a multi-mode fuzzy logic controller (MFLC) is employed to manage the power flow.  ...  The developed off-road PHET power sources are composed of a biogas-fuelled Internal Combustion Engine Generator (Bio-Gen), a photovoltaic system, and a battery pack.  ...  In this regard, the use of an advanced EMS has been a key factor for designing a hybrid electric powertrain for a PHET.  ... 
doi:10.1049/els2.12029 fatcat:2tmud3ndcrd2bmkl6uf6jn3u54

Load frequency controllers considering renewable energy integration in power system

Diambomba Hyacinthe Tungadio, Yanxia Sun
2019 Energy Reports  
Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes.  ...  Acknowledgment This research is supported partially by South African National Research Foundation Grants (No. 112108 and 112142)  ...  In the control area, the new tendency is the combination of the artificial intelligence algorithms particle swarm optimisation algorithm (PSO), fuzzy logic (FL), genetic algorithm (GA), etc. with the conventional  ... 
doi:10.1016/j.egyr.2019.04.003 fatcat:jhfk66uo5zadlghpphzwelew5a

Inverse Double NARX Fuzzy Modeling for System Identification

Kyoung Kwan Ahn, Ho Pham Huy Anh
2010 IEEE/ASME transactions on mechatronics  
The results show that the nonlinear Inverse Double NARX Fuzzy Model that is trained by genetic algorithm performs better and has a higher accuracy than the conventional Inverse Fuzzy model.  ...  Index Terms--Dynamic system, pneumatic artificial muscle (PAM), 2-axes PAM robot arm, genetic algorithm, Inverse Double NARX Fuzzy model, modeling and identification.  ...  presented a new neural model that was designed to produce a robust and smooth trajectory control of the servo manipulator system [4] . Gueaieb et al.  ... 
doi:10.1109/tmech.2009.2020737 fatcat:xg4xmzbfbzaobke2gxp52kt5vm

A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

Abdul Shah, Haidawati Nasir, Muhammad Fayaz, Adidah Lajis, Asadullah Shah
2019 Information  
The gaps in the literature are due to advancements in technology, the drawbacks of optimization algorithms, and the introduction of new optimization algorithms.  ...  The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption.  ...  A fuzzy controller for HVAC systems based on a genetic algorithm has been designed by [43] .  ... 
doi:10.3390/info10030108 fatcat:7n53fwv3mzbqhfdi6oqvgetnny

Design, Control, and Applications of Autonomous Mobile Robots [chapter]

D. Floreano, J. Godjevac, A. Martinoli, F. Mondada, J.-D. Nicoud
1999 Advances in Intelligent Autonomous Systems  
NEURO-FUZZY CONTROL FOR OBSTACLE AVOIDANCE We h a ve applied an automatic method for the design and the analysis of a fuzzy controller for two di erent b e h a viours: obstacle avoidance and wallfollowing  ...  The rst step in the design of a neuro-fuzzy controller is to establish a set of initial rules and parameters of the membership functions. The second step is the implementation of the controller.  ... 
doi:10.1007/978-94-011-4790-3_8 fatcat:xicvvyhu3rdf3nka4ek2mpoxsi

Dynamic model identification of IPMC actuator using fuzzy NARX model optimized by MPSO

Anh Pham Huy Ho, Nam Thanh Nguyen
2014 Science and Technology Development Journal  
This paper proposes the novel use of a modified particle swarm optimization (MPSO) to generate the inverse fuzzy NARX (IFN) model for a highly nonlinear IPMC actuator system.  ...  The results show that the novel inverse dynamic fuzzy NARX model trained by MPSO algorithm yields outstanding performance and perfect accuracy.  ...  Ahn and Anh in [20] have successfully optimized a NARX fuzzy model of the highly nonlinear actuator using genetic algorithm.  ... 
doi:10.32508/stdj.v17i1.1295 fatcat:mr2y3avefnhthpjgepvzoote2a

Ten years of genetic fuzzy systems: current framework and new trends

O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena
2004 Fuzzy sets and systems (Print)  
After a brief introduction to models and applications of genetic fuzzy systems, the ÿeld is overviewed, new trends are identiÿed, a critical evaluation of genetic fuzzy systems for fuzzy knowledge extraction  ...  Neural fuzzy systems and genetic fuzzy systems hybridise the approximate reasoning method of fuzzy systems with the learning capabilities of neural networks and evolutionary algorithms.  ...  Fig. 1 . 1 Soft computing and learning in fuzzy systems. Fig. 2 . 2 Genetic design and fuzzy processing. Fig. 3 . 3 Principal structure of a genetic algorithm.  ... 
doi:10.1016/s0165-0114(03)00111-8 fatcat:ctct6xyh6zekfnovveirqbajbu

Recent advances on key technologies for innovative manufacturing

Emmanuel Brousseau, Eldaw Eldukhri
2009 Journal of Intelligent Manufacturing  
In particular, these areas are identified as Advanced Production Machines, Production Automation and Control, Innovative Design Technologies and Production Organisation and Management.  ...  Through the I*PROMS Network of Excellence which originated during the sixth Framework Programme of the European Commission, this paper introduces a European vision of the essential research areas to deliver  ...  The work was carried out within the framework of the EC FP6 Networks of Excellence, "Multi-Material Micro Manufacture (4M): Technologies and Applications" and "Innovative Production Machines and Systems  ... 
doi:10.1007/s10845-009-0328-0 fatcat:idrjbgenpfemje6aynbdvk4xpi


Manzoor Ahmed
In this research proposal, our last milestone is to propose a strategy for improving performance of an algorithm.  ...  In last decade, various algorithms have been applied for modeling home energy management (HEM) system to solve DSM problem, with focus on balancing the electricity demand and supply.  ...  In [51] , authors proposed a hybrid of binary PSO and GA to design a HEM controller and in [52] , authors proposed a hybrid of PSO and GA for an optimized HEM system by integrating RESs and ESS.  ... 
doi:10.6084/m9.figshare.14099102.v1 fatcat:kpntrmrmqzftjb4zufsos2z3si

Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms

S. R. Mounce, W. Shepherd, S. Ostojin, M. Abdel-Aal, A. N. A. Schellart, J. D. Shucksmith, S. J. Tait
2019 Journal of Hydroinformatics  
This paper describes a novel genetic algorithm (GA) optimisation of the FL membership functions (MFs) for the developed control algorithm.  ...  The default parameters for the control algorithm, which uses water level-based data, were derived based on domain expert knowledge and optimised by linking the control algorithm programmatically to a hydrodynamic  ...  The contents of this paper reflect the view of the authors -the Executive Agency for Small and Medium-sized Enterprises (EASME) of the European Commission is not responsible for any use that may be made  ... 
doi:10.2166/hydro.2019.058 fatcat:qa3dgsreejbxbf5ndme4zkeyem

Optimal PID Controller designing for voltage control of Fuel Cell

Omid Khezri, Seyed Jalal Seyed Shenava
2014 Bulletin of Electrical Engineering and Informatics  
At first, the introducing and implementation of PEMFC is present and next, during system load variations the proposed controller is designed.  ...  In this paper a simple PID controller is proposed for fuel cell voltage control. The proposed controller is design based on IWO algorithm.  ...  In [2] , a type of fuzzy controller to control the fuel cell output voltage is considered. BP and RBF networks control strategy for voltage and current control of the fuel cell, is used in [3] .  ... 
doi:10.11591/eei.v3i4.289 fatcat:6i25vvfw7naghll545mbdtlfvm

Rotorcraft research in India: recent developments

Ranjan Ganguli
2010 Aircraft Engineering and Aerospace Technology  
Findings -It is found that strong research capabilities have developed in rotor system health and usage monitoring, rotor blade design optimization, active control of structural response, composite rotor  ...  The helicopter research is divided into the following parts: (1) health monitoring (2) smart rotor (3) design optimization (4) control (5) helicopter rotor dynamics and (6) active control of structural  ...  The simulated measurements were contaminated with noise and then used to both train and test the genetic fuzzy system.  ... 
doi:10.1108/00022661011092956 fatcat:ftfrwb33qbctrpejrjkyuoofye

Evolutionary algorithms in control systems engineering: a survey

P.J Fleming, R.C Purshouse
2002 Control Engineering Practice  
Evolutionary advances in adaptive control and multidisciplinary design are predicted.  ...  Hybrid neural and fuzzy control schemes are also described. The important role of EAs in multiobjective optimisation is highlighted.  ...  Severe acceptance tests were also applied to enable the design of a safe and robust controller. There is considerable scope for further applications of EC to on-line control systems engineering.  ... 
doi:10.1016/s0967-0661(02)00081-3 fatcat:k6ij4y55bvbntfu5rpqpaizyni

Development of soft computing and applications in agricultural and biological engineering

Yanbo Huang, Yubin Lan, Steven J. Thomson, Alex Fang, Wesley C. Hoffmann, Ronald E. Lacey
2010 Computers and Electronics in Agriculture  
In agricultural and biological engineering, researchers and engineers have developed methods of fuzzy logic, artificial neural networks, genetic algorithms, decision trees, and support vector machines  ...  Soft computing is a set of "inexact" computing techniques, which are able to model and analyze very complex problems.  ...  A number of CAD (Computer-Aid Design) environments for fuzzy control design have emerged together with VLSI (Very-Large-Scale Integration) hardware for fast execution.  ... 
doi:10.1016/j.compag.2010.01.001 fatcat:quszrg4vuzgcvkh2uglutnujdm
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