Dynamic Fuzzy Logic Elevator Group Control System for Energy Optimization

High-rise buildings with a considerable number of elevators represent a major logistic problem concerning saving space and time due to economic reasons. For this reason, complex Elevator Group Control Systems are developed in order to manage the elevators properly. Furthermore, the subject of energy is acquiring more and more industrial relevance every day as far as sustainable development is concerned. In this paper, the first entirely dynamic Fuzzy Logic Elevator Group Control System to dispatch landing calls so as to minimize energy consumption, especially during interfloor traffic, is proposed. The fuzzy logic design described here constitutes not only an innovative solution that outperforms usual dispatchers but also an easy, cheap, feasible and reliable solution, which is possible to be implemented in real industry controllers.

[1]  R. Adams.  Proceedings , 1947 .

[2]  A. Kolmogorov,et al.  Théorie générale des systèmes dynamiques de la mécanique classique , 1958 .

[3]  M. Tinkham.  Group Theory and Quantum Mechanics , 1964 .

[4]  Ebrahim Mamdani,et al.  Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .

[5]  P. K. Iyengar,et al.  Advances in Mössbauer spectroscopy : applications to physics, chemistry, and biology , 1983 .

[6]  V. Kiselev,et al.  Electronic Phenomena in Adsorption and Catalysis on Semiconductors and Dielectrics , 1987 .

[7]  Bailin Hao.  Experimental study and characterization of chaos , 1990 .

[8]  Peter E. Caines,et al.  The logical control of an elevator , 1995, IEEE Trans. Autom. Control..

[9]  Christos G. Cassandras,et al.  Design and implementation of an adaptive dispatching controller for elevator systems during uppeak traffic , 1998, IEEE Trans. Control. Syst. Technol..

[10]  Hyung Lee-Kwang,et al.  Design and implementation of a fuzzy elevator group control system , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[11]  Rajani K. Mudi,et al.  A robust self-tuning scheme for PI- and PD-type fuzzy controllers , 1999, IEEE Trans. Fuzzy Syst..

[12]  Michael A. Covington,et al.  Logical control of an elevator with defeasible logic , 2000, IEEE Trans. Autom. Control..

[13]  Jung-Hwan Kim,et al.  Adaptive elevator group control with cameras , 2001, IEEE Trans. Ind. Electron..

[14]  Sunil Kumar Agrawal,et al.  A computational approach for time-optimal planning of high-rise elevators , 2002, IEEE Trans. Control. Syst. Technol..

[15]  Gina Carol Barney,et al.  Elevator traffic handbook , 2002 .

[16]  Long-Shuh Lin,et al.  Demands Estimation of New Telecommunication Services in Fuzzy Environment , 2003, Int. J. Inf. Technol. Decis. Mak..

[17]  Harri Ehtamo,et al.  Optimal control of double-deck elevator group using genetic algorithm , 2003 .

[18]  Pablo Cortés,et al.  A Genetic Algorithm for Controlling Elevator Group Systems , 2003, IWANN.

[19]  D. Akehurst.  Transformations based on Relations , 2004 .

[20]  Pablo Cortés,et al.  Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic , 2004, Appl. Soft Comput..

[21]  Jianping Wu,et al.  Research on dynamic zoning of elevator traffic based on artificial immune algorithm , 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

[22]  B. Zwiebach,et al.  Double Field Theory , 2009, 0904.4664.

[23]  Pablo Cortés,et al.  Design and Analysis of a Tool for Planning and Simulating Dynamic Vertical Transport , 2006, Simul..

[24]  Tapio Tyni,et al.  Evolutionary bi-objective optimisation in the elevator car routing problem , 2006, Eur. J. Oper. Res..

[25]  Wen-Ran Zhang,et al.  Yinyang Bipolar Fuzzy Sets and Fuzzy Equilibrium Relations: for Clustering, Optimization, and Global Regulation , 2006, Int. J. Inf. Technol. Decis. Mak..

[26]  David Mulvaney,et al.  Prioritised A* search in real-time elevator dispatching , 2007 .

[27]  Jianchang Liu,et al.  Ant Colony Algorithm and Fuzzy Neural Network-based Intelligent Dispatching Algorithm of An Elevator Group Control System , 2007, 2007 IEEE International Conference on Control and Automation.

[28]  Yunong Zhang,et al.  Particle Swarm Optimization for Dynamic Sectoring Control During Peak Traffic Pattern , 2007, ICIC.

[29]  Jinglu Hu,et al.  Elevator group control system using genetic network programming with ACO considering transitions , 2007, SICE Annual Conference 2007.

[30]  Stathes Hadjiefthymiades,et al.  Enhancing Situation-Aware Systems through Imprecise Reasoning , 2008, IEEE Transactions on Mobile Computing.

[31]  Kotaro Hirasawa,et al.  A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[32]  Peter B. Luh,et al.  Group Elevator Scheduling With Advance Information for Normal and Emergency Modes , 2008, IEEE Transactions on Automation Science and Engineering.

[33]  Wooi Ping Hew,et al.  Development of a self-tuning fuzzy logic controller for intelligent control of elevator systems , 2009, Eng. Appl. Artif. Intell..

[34]  Jie Lu,et al.  A Fuzzy Multi-Objective bilevel Decision Support System , 2009, Int. J. Inf. Technol. Decis. Mak..

[35]  Xi-Zhao Wang,et al.  Improving Generalization of Fuzzy IF--THEN Rules by Maximizing Fuzzy Entropy , 2009, IEEE Transactions on Fuzzy Systems.

[36]  Dan Keun Sung,et al.  Performance analysis of an elevator system during up-peak , 2009, Math. Comput. Model..

[37]  Feng Lin,et al.  Theory of Extended Fuzzy Discrete-Event Systems for Handling Ranges of Knowledge Uncertainties and Subjectivity , 2009, IEEE Transactions on Fuzzy Systems.

[38]  Peter B. Luh,et al.  Optimization of Group Elevator Scheduling With Advance Information , 2010, IEEE Transactions on Automation Science and Engineering.

[39]  Pablo Cortés,et al.  Optimal Car Dispatching For Elevator Groups Using Genetic Algorithms , 2010, Intell. Autom. Soft Comput..

[40]  Raul Poler Escoto,et al.  Fuzzy Linear Programming for Supply Chain Planning under Uncertainty , 2010, Int. J. Inf. Technol. Decis. Mak..

[41]  Lutfi Al-Sharif.  The effect of multiple entrances on the elevator round trip time under up-peak traffic , 2010, Math. Comput. Model..

[42]  Ronald R. Yager,et al.  Norms Induced from OWA Operators , 2010, IEEE Transactions on Fuzzy Systems.

[43]  Cheng-Few Lee,et al.  A Fuzzy Real Option Valuation Approach to Capital budgeting under Uncertainty Environment , 2010, Int. J. Inf. Technol. Decis. Mak..

[44]  Mehdi Fasanghari,et al.  The Fuzzy Evaluation of the ICT Projects in Strategic Environment (Case Study: Iran Telecommunication Research Center) , 2011, Int. J. Inf. Technol. Decis. Mak..

[45]  Guohe Huang,et al.  An interval-parameter minimax regret programming approach for power management systems planning under uncertainty , 2011 .

[46]  Vahid Majazi Dalfard,et al.  Information Systems Outsourcing Decisions under Fuzzy Group Decision Making Approach , 2011, Int. J. Inf. Technol. Decis. Mak..

[47]  G. Huang,et al.  Management of Uncertain Information for Environmental Systems Using a Multistage Fuzzy-Stochastic Programming Model with Soft Constraints , 2011 .

[48]  Guohe Huang,et al.  Scenario-Based Methods for Interval Linear Programming Problems , 2011 .

[49]  Yi Peng,et al.  FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms , 2011 .

[50]  Yi Peng,et al.  Ensemble of Software Defect Predictors: an AHP-Based Evaluation Method , 2011, Int. J. Inf. Technol. Decis. Mak..

[51]  C. W. Chan,et al.  Development of an Intelligent System for Monitoring and Diagnosis of the Carbon Dioxide Capture Process , 2011 .

[52]  Guohe Huang,et al.  Analysis of Solution Methods for Interval Linear Programming , 2011 .

[53]  AMY H. I. LEE,et al.  An Integrated Interpretive Structural Modeling-Fuzzy analytic Network Process-Benefits, Opportunities, Costs and Risks Model for Selecting Technologies , 2011, Int. J. Inf. Technol. Decis. Mak..

[54]  Ana Nieto-Morote,et al.  A Fuzzy AHP Multi-Criteria Decision-Making Approach Applied to Combined Cooling, heating, and Power Production Systems , 2011, Int. J. Inf. Technol. Decis. Mak..

[55]  L. Liu,et al.  A Coupled MM5-CMAQ Modeling System for Assessing Effects of Restriction Measures on PM10 Pollution in Olympic City of Beijing, China , 2012 .

[56]  Pablo Cortés,et al.  Fuzzy Logic Based Controller for Peak Traffic Detection in Elevator Systems , 2012 .

[57]  Yi Peng,et al.  A Multicriteria Decision Making Approach for Estimating the Number of Clusters in a Data Set , 2012, PloS one.

[58]  Yi Peng,et al.  Evaluation of Classification Algorithms Using MCDM and Rank Correlation , 2012, Int. J. Inf. Technol. Decis. Mak..

[59]  Oguz Altun,et al.  A particle swarm optimization algorithm for optimal car-call allocation in elevator group control systems , 2013, Appl. Soft Comput..

[60]  Pablo Cortés,et al.  A viral system algorithm to optimize the car dispatching in elevator group control systems of tall buildings , 2013, Comput. Ind. Eng..

[61]  Program.  FOUNDATIONS OF CONSTRUCTIVE MATHEMATICS , 2014 .