Distributed approach to group control of elevator systems using fuzzy logic and FPGA implementation of dispatching algorithms

Muñoz, Daniel M.; Llanos, Carlos H.; Ayala-Rincón, Maurício; van, Rudi Henri

doi:10.1016/j.engappai.2008.04.014

Cited by 26 publications

(13 citation statements)

References 11 publications

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“…The work of Munoz et al [39], describes the validation of five dispatching algorithms for elevator systems that were implemented on Spartan 3 FPGA-based boards in an integrated approach reducing the area and improving performance. The overall system is composed of several local control systems (LCS), which implement the dispatching algorithms, an RS485-based network and a virtual environment called virtual elevator interface system (VEI), which includes a simulator/monitoring system and an elevator group control system EGCS-based on fuzzy logic (FEGCS).…”

Section: Fpga Applicationmentioning

confidence: 99%

Literature Review for Digital Implementations of Fuzzy Logic Type-1 and Type-2

Ponce-Cruz

Molina

MacCleery

2015

Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

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Some works are described below where optimization Type-1 and Type-2 FLS have had relative success according to different areas, illustrating the advantages of using methods to automate process with fuzzy controllers.The work of Sudha and Vijai Santhi [1], deals with the load frequency control (LFC) problem, which has been a major subject in electrical power system such as design and operation. In practice, LFC systems use simple proportional integral (PI) controllers. However, it shows that fuzzy logic controller is adaptive in nature and is applied successfully for power system stabilization control. Authors propose a type-2 fuzzy approach for load frequency control of two-area interconnected reheat thermal power system with the consideration of Generation Rate Constraint (GRC). The performance of the type-2 controller is compared with conventional controller and Type-1 fuzzy controller with regard to Generation Rate Constraint (GRC). The system parametric uncertainties are verified by changing parameters by 40% simultaneously from their typical values.The authors Jammeth and Fleury in their work [2] use an interval Type-2 FLC that gets better video quality compared with traditional controllers. They also use Type-1 FLC to show the response in different network scenarios, such like Internet cross-traffic, video streams occupy on an Internet protocol (IP) network. Type-2 FLC is designed for Internet conditions so they can react successfully to the network conditions of an IP-network. Type-2 FLC resulted in an order of magnitude performance improvement in comparison with Type-1 FLC.The work of Lee and Lin [3], proposes a new control scheme using type-2 fuzzy neural network (type-2 FNN) and adaptive filter for controlling nonlinear uncertain systems. This type-2 FNN model combines the advantages of type-2 fuzzy logic systems and neural networks. The type-2 FNN system has the ability of universal approximation, which identifies nonlinear dynamic systems. The control scheme consists of a PD-type adaptive FNN controller and a pre-filter. The adaptive filter is

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Section: Fpga Applicationmentioning

confidence: 99%

Literature Review for Digital Implementations of Fuzzy Logic Type-1 and Type-2

Ponce-Cruz

Molina

MacCleery

2015

Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

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“…However, the width of the optimal way space makes this problem hard to solve in the best way. Because there are the option of n p different ways in a building having n storey and p cabin [2, 3]. Actually, what is expected from the group elevator systems is the average performance of such cabins instead of individual performance of elevator.…”

Section: Introductionmentioning

confidence: 99%

“…The most important factor affecting both the average waiting time of passengers and energy consumption in group elevator systems is traffic time of buildings [2, 9]. This is very important issue because passengers use elevators much in certain hours, and they rarely use cabins in rest of their times.…”

Section: Introductionmentioning

confidence: 99%

“…In such studies on which certain traffic conditions are considered, the soft computing techniques like genetic algorithms, fuzzy logic, particle swarm optimization, and artificial intelligence [4, 6, 8]. However, sheer number of parameters in elevator systems, width of solution space, and failure to determine incoming calls earlier make scheduling problem hard to solve [2, 3]. Despite these lacks, an important development has been performed from the first day of appearance of group elevator systems, and still continues to develop.…”

Section: Introductionmentioning

confidence: 99%

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Immunity‐Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving

Bayğın

Karaköse²

2013

The Scientific World Journal

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Nowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. Although there are many studies in the literature about this topic, they are still not effective enough because they are not able to evaluate all features of system. In this paper, a new approach of immune system-based optimal estimate is studied for dynamic control of group elevator systems. The method is mainly based on estimation of optimal way by optimizing all calls with genetic, immune system and DNA computing algorithms, and it is evaluated with a fuzzy system. The system has a dynamic feature in terms of the situation of calls and the option of the most appropriate algorithm, and it also adaptively works in terms of parameters such as the number of floors and cabins. This new approach which provides both time and energy saving was carried out in real time. The experimental results comparatively demonstrate the effects of method. With dynamic and adaptive control approach in this study carried out, a significant progress on group elevator control systems has been achieved in terms of time and energy efficiency according to traditional methods.

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“…A recent example of current interest is shown in [45], which presents a set of five dispatching algorithms in an integrated approach. The system is composed of several local control systems, which implement the dispatching algorithms and an elevator group control system (EGCS) based on fuzzy logic (FEGCS).…”

Section: Iv2 Approaches Based On Fuzzy Logicmentioning

confidence: 99%

A State of the Art on the Most Relevant Patents in Vertical Transportation in Buildings

Cortés

Martín²,

Muñuzuri³

2009

CSENG

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Nowadays, the building industry and its associated technologies are experiencing a period of rapid growth, which requires an equivalent growth regarding technologies in the field of vertical transportation. Therefore, the installation of synchronised elevator groups in modern buildings is a common practice in order to govern the dispatching, allocation and movement of the cars shaping the group. So, elevator control and management has become a major field of application for Artificial Intelligence approaches. Methodologies such as fuzzy logic, artificial neural networks, genetic algorithms, ant colonies, or multiagent systems are being successfully proposed in the scientific literature, and are being adopted by the leading elevator companies as elements that differentiate them from their competitors. In this sense, the most relevant companies are adopting strategies based on the protection of their discoveries and inventions as registered patents in different countries throughout the world. This paper presents a comprehensive state of the art of the most relevant recent patents on computer science applied to vertical transportation.

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Distributed approach to group control of elevator systems using fuzzy logic and FPGA implementation of dispatching algorithms

Cited by 26 publications

References 11 publications

Literature Review for Digital Implementations of Fuzzy Logic Type-1 and Type-2

Literature Review for Digital Implementations of Fuzzy Logic Type-1 and Type-2

Immunity‐Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving

A State of the Art on the Most Relevant Patents in Vertical Transportation in Buildings

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