The Research of Multi-Car Elevator Control Method Based on PSO-GA

2014 ◽  
Vol 556-562 ◽  
pp. 2418-2421 ◽  
Author(s):  
Jian Liu ◽  
Zi Long Bai ◽  
Meng Hua Gu ◽  
Xu Zhang ◽  
Rui Zhang
Keyword(s):  
Control Method ◽  
Simulation Analysis ◽  
Scheduling Algorithm ◽  
Utilization Rate ◽  
Particle Swarm Algorithm ◽  
Algorithm Optimization ◽  
High Rise ◽  
Scheduling Method ◽  
A New Technique ◽  
Elevator Group Control

Multi-car elevator system is a new technique which can reduce the occupied area and improve the transport efficiency in the high-rise and super high-rise buildings. It is remain to be studied in both the control strategy and scheduling method compared with the traditional single elevator group control system, In order to improve the utilization rate and shorten the waiting time, the particle swarm algorithm PSO and GA genetic algorithm optimization control method are studied aiming at the rationality of scheduling strategy of the rationality of elevator. Combining the advantages of two algorithms proposed a novel optimal scheduling algorithm for PSO-GA and carried on simulation analysis, the experimental results demonstrate the effectiveness of the new method of improved PSO-GA.

The Intelligent Scheduling Method of Elevator Group Control Based on Fuzzy Neural Network

2012 ◽  
Vol 155-156 ◽  
pp. 653-657
Author(s):  
Yu Lin Dong ◽  
Xiao Ming Wang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Scheduling Algorithm ◽  
Mathematic Model ◽  
Group Control ◽  
Fuzzy Neural ◽  
And Performance ◽  
Elevator Group Control

Elevator group control system (EGCS) is a complex optimization system, which has the characteristics of multi-objective, uncertain, stochastic random decision-making and nonlinear. It is hard to describe the elevator group control system in exact mathematic model and to increase the capability of the system with traditional control method. In this paper, we aim at the characters of elevator group control system and intelligent control, introduce the system's control fashion and performance evaluate guidelines and propose an elevator group control scheduling algorithm based on fuzzy neural network.

Virtual Maintenance Process Modeling and Simulation

2010 ◽  
Vol 44-47 ◽  
pp. 527-531 ◽  
Author(s):  
Dong Zhou ◽  
Mei Hui Wang ◽  
Lin Huo ◽  
Chuan Lv
Keyword(s):  
Modeling And Simulation ◽  
Control Method ◽  
Model And Simulation ◽  
Scheduling Method ◽  
A New Technique ◽  
Conflict Strategies ◽  
Virtual Maintenance ◽  
Maintenance Model ◽  
Maintenance Process

Virtual maintenance technique brings new mode for system maintainability design and analysis, however, the theory of virtual maintenance is not fully studied and researches are deficiency in the key field of virtual maintenance modeling and simulation. So virtual maintenance model and simulation control method are studied in the paper. Virtual maintenance model is based on Petri Net and can describe the relations of maintenance resources, and the model structure, formal definition, maintenance object, resource state and model operation are given. In addition, virtual maintenance simulation rules and simulation scheduling method are built in the paper. Simulation scheduling objective, flow and conflict features of maintenance process simulation are analyzed, and conflict strategies are addressed subsequently. Finally, a case study of the LRU repair of an aircraft is conducted, and the result confirms the validation and feasibility of all the studies, which can become a new technique means for maintainability engineering.

scholarly journals Energy Storage Economic Optimization Scheduling Method for Multi-Scene Demand of Peak and Frequency Modulation

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8605
Author(s):  
Wen Wei ◽  
Yali Wang ◽  
Shuangfeng Dai ◽  
Changqing Chen ◽  
Lei Chen
Keyword(s):  
Energy Storage ◽  
Frequency Modulation ◽  
Control Method ◽  
Recovery Period ◽  
Operating Cost ◽  
Utilization Rate ◽  
Net Income ◽  
Economic Optimization ◽  
Scheduling Method ◽  
Optimization Scheduling

energy storage (ES) only contributes to a single-scene (peak or frequency modulation (FM)) control of the power grid, resulting in low utilization rate and high economic cost. Herein, a coordinated control method of peak modulation and FM based on the state of ES under different time scales is proposed. Firstly, for monotone peak and FM control scenarios, the ES configuration and scheduling model is constructed with the goal of maximizing net profit. Secondly, to further improve the ES utilization rate and optimize the operating cost of ES, a cooperative control method of peak modulation and FM is proposed. This method can realize the switch between peak modulation and FM control of ES and improve the ES utilization rate and system economy. Finally, the simulation results show that, compared with that of mono-peak and single-FM control, the ES efficiency of the peak-FM multiscenario optimization scheduling method is improved by 16.25% and 37.29%, respectively. The annual net income is increased by €28,021.50, the investment recovery period is shortened by 0.27 years, and the ES configuration economy is effectively improved.

scholarly journals Motor shifting and torque distribution control of a multi-motor driving system in electric construction vehicles

2021 ◽  
Vol 13 (6) ◽  
pp. 168781402110284
Author(s):  
Weikang Kong ◽  
Jixin Wang ◽  
Dewen Kong ◽  
Yuanying Cong ◽  
Shuangshi Feng
Keyword(s):  
Power Systems ◽  
Control Method ◽  
Simulation Analysis ◽  
Rapid Development ◽  
Transmission Efficiency ◽  
Torque Distribution ◽  
Driving System ◽  
Construction Machinery ◽  
Improve Energy Efficiency ◽  
Parameter Matching

With the rapid development of the world economic construction and the shortage of energy, it has become a hot research issue to realize the electrification of the vehicle driving system and improve energy efficiency. Most of the electric construction machinery power systems are characterized by low speed and high load. The coordinated driving of multiple motors can increase the output torque and improve the transmission efficiency of the machine on the basis of a compact layout. A novel configuration of electric construction vehicles based on multi-motor and single-speed and its driving torque distribution control method is presented in this paper. The detailed mathematical model is established and the simulation analysis is carried out based on it. The results show that the proposed multi-motor driving system with the control strategy can improve the overall efficiency in the condition of ensuring the driving force when the parameter matching and motors choosing reasonably.

scholarly journals Tower Crane Location Optimization for Heavy Unit Lifting in High-Rise Modular Construction

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 121
Author(s):  
Hosang Hyun ◽  
Moonseo Park ◽  
Dowan Lee ◽  
Jeonghoon Lee
Keyword(s):  
Low Cost ◽  
Modular Construction ◽  
Algorithm Optimization ◽  
Location Selection ◽  
Project Completion ◽  
High Rise ◽  
Tower Crane ◽  
Proposed Model ◽  
Study Results ◽  
Crane Selection

Modular construction, which involves unit production in factories and on-site work, has benefits such as low cost, high quality, and short duration, resulting from the controlled factory environment utilized. An efficient tower crane lifting plan ensures successful high-rise modular project completion. For improved efficiency, the lifting plan should minimize the reaching distance of the tower crane, because this distance directly affects the tower crane capacity, which is directly related to crane operation cost. In situations where units are lifted from trailers, the trailer-to-tower crane distance can have a significant impact on the tower crane operation efficiency. However, optimization of this distance to improve efficiency has not been sufficiently considered. This research proposes a genetic algorithm optimization model that suggests optimized tower crane and trailer locations. The case study results show that through the proposed model, the project manager can reflect the optimal location selection and optimal tower crane selection options with minimal cost.

A Study on Sun Shading Reconstruction Design of Residential Buildings in Chongqing City

2014 ◽  
Vol 953-954 ◽  
pp. 1481-1487
Author(s):  
Liu Jin
Keyword(s):  
Energy Saving ◽  
Personal Experience ◽  
Design Pattern ◽  
Simulation Analysis ◽  
Residential Buildings ◽  
Residential Building ◽  
Specific Time ◽  
High Rise ◽  
Time Period ◽  
Chongqing City

Windows energy saving design of residential buildings has increasingly got the attention of people. Through a large number of surveys and analysis of residential buildings in Chongqing and consumers personal experience, the author finds problems and deficiency, and then proposes principles of residential buildings sun shading reconstruction in Chongqing city. Taking the high-rise residential building of one university in Chongqing as reconstruction sample, selecting a specific time period, the author recalculates sun shading coefficient with and without sun shading by using Ecotect software to do simulation analysis. Finally, the reasonable reconstruction design pattern is put forward through cases. Keywords: Buildings Sun Shading, Sun Shading Reconstruction, Energy Saving

The Simulation Analysis of Semi-Active Suspension System in Vehicle Based on Sliding Mode Control with Varying Structure

2011 ◽  
Vol 216 ◽  
pp. 96-100
Author(s):  
Jing Jun Zhang ◽  
Wei Sha Han ◽  
Li Ya Cao ◽  
Rui Zhen Gao
Keyword(s):  
Control Method ◽  
Simulation Analysis ◽  
Reference Model ◽  
Sliding Mode ◽  
Tracking Error ◽  
Active Suspension ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Error Dynamics ◽  
Dynamic Quality

A sliding mode controller for semi-active suspension system of a quarter car is designed with sliding model varying structure control method. This controller chooses Skyhook as a reference model, and to force the tracking error dynamics between the reference model and the plant in an asymptotically stable sliding mode. An equal near rate is used to improve the dynamic quality of sliding mode motion. Simulation result shows that the stability of performance of the sliding-mode controller can effectively improve the driving smoothness and safety.

Linear Rail Space Dynamic Scheduling Technology for Multi-Tasking Hybrid Assembly Sections

2012 ◽  
Vol 271-272 ◽  
pp. 650-656
Author(s):  
Zhi Bing Lu ◽  
Ai Min Wang ◽  
Cheng Tong Tang ◽  
Jing Sheng Li
Keyword(s):  
Production Scheduling ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Real Data ◽  
Utilization Rate ◽  
Filter Method ◽  
Scheduling Problem ◽  
Rule Based ◽  
Comprehensive Utilization ◽  
Space Production

For the rapid response to production scheduling problem driven by high-density production tasks, a dynamic scheduling technology for the large precision strip products assembly with a mixture of task time nodes and line-rail space is proposed. A scheduling constrained model containing coverage, proximity, timeliness and resource is established. A linear rail space production scheduling technology using heuristic automatic scheduling and event-driven method is put forward. The time rule based on delivery and single completion assembly is formed, at the same time the space rule based on the adjacent rail and comprehensive utilization is researched. Supposing the privilege of single product assembling as the core, the scheduling parts filter method based on multiple constraints and former rules. For the space layout problem, a clingy forward and backward algorithms is proposed to judge the assemble position regarding the space comprehensive utilization rate. The classification of the various disturbances in the actual production is summarized. Three basic algorithms are proposed, including insertion, moving and re-scheduling algorithm, in order to solve the assembly dynamic scheduling problem driven by production disturbance events. Finally, take rocket as the example， the rocket assembly space production scheduling system is developed, combining with the proposed algorithm. The practicability of the system is validated using real data.

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