scholarly journals Constructing the optimal power algorithm for AS/RS systems using multi-mobile robots

2021 ◽  
Vol 877 (1) ◽  
pp. 012014
Author(s):  
H M Hameed ◽  
A T Rashid ◽  
M T Rashid ◽  
K A Al Amry
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Energy Saving ◽  
Optimal Path ◽  
Electrical Power ◽  
Route Planning ◽  
Optimal Power ◽  
Consumption Efficiency

Abstract For any mobile system there is especially advantageous from a business perspective to develop energy-saving techniques that also extend to existing production processes. Therefore, looking for ways to enhance the energy efficiency of robot operations to maximize energy consumption efficiency is of considerable significance, a route-planning issue that refers to finding the shortest path to meet the predetermined goal location in a certain complex environment. So, one of the energy saving methods for a multi-mobile robot environment is to find the optimal path for a mobile robot that can improve power consumption. In this paper, an optimal power algorithm for “automatic storage and retrieval system” using multi-mobile robots is introduced based on efficient motion planning among a group of multi-mobile robots that gives a significant improvement in the level of energy consumption. Energy mechanism can be achieved using electrical power quantities on real robots, models or analytical equations based on robots’ physical model. The simulation results indicate that the algorithm enhanced power consumption efficiency.

scholarly journals Energy Modeling and Power Measurement for Mobile Robots

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 27 ◽  
Author(s):  
Linfei Hou ◽  
Liang Zhang ◽  
Jongwon Kim
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Electrical Power ◽  
Energy Model ◽  
Energy Modeling ◽  
Power Measurement ◽  
Sensor System ◽  
System Control

To improve the energy efficiency of a mobile robot, a novel energy modeling method for mobile robots is proposed in this paper. The robot can calculate and predict energy consumption through the energy model, which provides a guide to facilitate energy-efficient strategies. The energy consumption of the mobile robot is first modeled by considering three major factors: the sensor system, control system, and motion system. The relationship between the three systems is elaborated by formulas. Then, the model is utilized and experimentally tested in a four-wheeled Mecanum mobile robot. Furthermore, the power measurement methods are discussed. The energy consumption of the sensor system and control system was at the milliwatt level, and a Monsoon power monitor was used to accurately measure the electrical power of the systems. The experimental results showed that the proposed energy model can be used to predict the energy consumption of the robot movement processes in addition to being able to efficiently support the analysis of the energy consumption characteristics of mobile robots.

scholarly journals Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1800
Author(s):  
Linfei Hou ◽  
Fengyu Zhou ◽  
Kiwan Kim ◽  
Liang Zhang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Mobile Robot ◽  
Load Capacity ◽  
Working Environment ◽  
Energy Consumption Analysis ◽  
Mecanum Wheel ◽  
Save Energy ◽  
Energy Consumption Modeling ◽  
Robot Platform

The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power consumption model can we accurately predict the power consumption of the robot. In order to increase the applicable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc. The model is derived from the kinematic and kinetic model combined with electrical engineering and energy flow principles. The model has been simulated in MATLAB and experimentally validated with the four-wheeled Mecanum robot platform in our lab. Experimental results show that the accuracy of the model reached 95%. The results of energy consumption modeling can help robots save energy by helping them to perform rational path planning and task planning.

scholarly journals Modeling and Analysis of the Obstacle-Avoidance Strategies for a Mobile Robot in a Dynamic Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Wang ◽  
Ming Wang ◽  
Yong Guan ◽  
Xiaojuan Li
Keyword(s):  
Energy Consumption ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Obstacle Avoidance ◽  
Decision Process ◽  
Dynamic Environment ◽  
Formal Models ◽  
Modeling And Analysis ◽  
Avoidance Strategies ◽  
Markov Decision

Obstacle avoidance is a key performance of mobile robots. However, its experimental verification is rather difficult, due to the probabilistic behaviors of both the robots and the obstacles. This paper presents the Markov Decision Process based probabilistic formal models for three obstacle-avoidance strategies of a mobile robot in an uncertain dynamic environment. The models are employed to make analyses in PRISM, and the correctness of the analysis results is verified by MATLAB simulations. Finally, the minimum time and the energy consumption are determined by further analyses in PRISM, which prove to be useful in finding the optimal strategy. The present work provides a foundation for the probabilistic formal verification of more complicated obstacle-avoidance strategies.

scholarly journals Occupant Comfort Management Based on Energy Optimization Using an Environment Prediction Model in Smart Homes

2019 ◽  
Vol 11 (4) ◽  
pp. 997 ◽  
Author(s):  
Wenquan Jin ◽  
Israr Ullah ◽  
Shabir Ahmad ◽  
Dohyeun Kim
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Prediction Model ◽  
Optimization Model ◽  
Indoor Environment ◽  
Energy Optimization ◽  
Comfort Index ◽  
Optimal Power ◽  
Temperature And Humidity ◽  
Occupant Comfort

Occupant comfort management is an important feature of a smart home, which requires achieving a high occupant comfort level as well as minimum energy consumption. Based on a large amount of data, learning models enable us to predict factors of a mathematical model for deriving the optimal result without expensive experiments. Comfort management supports high-level comfort to the occupant in the individual indoor environment, using the optimal power consumption to run home appliances. In this paper, we propose occupant comfort management based on energy optimization, using an environment prediction model. The proposed energy optimization model provides optimal power consumption based on the proposed objective function, which requires temperature and comfort index data as the input parameters. For the input requirement, temperature prediction model and humidity prediction model are presented based on a recurrent neural network with a pre-collected dataset, including indoor and outdoor temperature and humidity sensing data. Using the predicted temperature and humidity data, the comfort index model derives the predicted mean vote value to be used in the energy optimization model with the predicted temperature data. The experimental results present an 8.43% reduction of the optimized power consumption compared to the actual power consumption using mean absolute percentage error to calculate. Moreover, the emulation of an indoor environment using optimal energy consumption presents as approximately similar to the actual data.

scholarly journals Control of energy aspects of track and rolling stock interaction

2018 ◽  
Vol 239 ◽  
pp. 01044 ◽  
Author(s):  
Victor Pevzner ◽  
Uriy Romen ◽  
Kirill Shapetko
Keyword(s):  
Energy Consumption ◽  
Best Practices ◽  
Power Consumption ◽  
Energy Saving ◽  
Cost Reduction ◽  
Rolling Stock ◽  
Track Geometry ◽  
Track Maintenance ◽  
Before And After ◽  
Layout Geometry

The paper analyses international practices of energy saving for train traction. It describes methods that allow decrease of power consumption. Russian practices of energy consumption for train traction are reviewed, as well as methods for determining the power consumption related to condition of track layout geometry. Best practices of evaluation of impact of profile elevation unevenness to the train traction energy consumption are presented. The calculations that allow matching the data on track geometry before and after track maintenance works are performed, and the convictions concerning cost reduction for train traction energy saving are developed.

Investigation of Time and Energy Consumption using the Physical Model

1970 ◽  
Vol 111 (5) ◽  
pp. 85-88 ◽  
Author(s):  
A. Baums ◽  
A. Gordjusins ◽  
G. Kanonirs
Keyword(s):  
Image Analysis ◽  
Energy Consumption ◽  
Machine Vision ◽  
Software Development ◽  
Mobile Robot ◽  
Physical Model ◽  
Ant Colony Algorithm ◽  
Model Development ◽  
Route Planning ◽  
Time And Energy

Different machine vision, image analysis systems and navigation sensor modules were tested during the physical model development, the most conformable was selected. Different route planning algorithms were implemented and analyzed. The best result is obtained using the Ant-colony algorithm. The physical model is used for an autonomous outdoor mobile robot software development and student education. Ill. 3, bibl. 5 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.111.5.363

Study on Energy-Saving Driving Mode during Cornering for Motorized Wheels Driving Vehicle

2012 ◽  
Vol 203 ◽  
pp. 360-364
Author(s):  
Huan Huan Zhang ◽  
Guo Ping Yang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Energy Saving ◽  
Constant Speed ◽  
Lateral Acceleration ◽  
Resistance Force ◽  
Vehicle Model ◽  
Torque Distribution ◽  
Driving Mode ◽  
Yaw Rate

In order to study the energy consumption feature when cornering for motorized wheels driving vehicles, the resistance force on the driving axle was analyzed. A creative method quasi-neutral steering was proposed for vehicle cornering. A motorized wheels driving vehicle model was established, and the simulation of constant speed cornering was performed when the yaw rate as the parameter to control the front-rear torque distribution and the lateral acceleration as the parameter to control the left-right torque distribution. The results indicate that no wheel slipping is happened when quasi-neutral steering. The torque on the rear outer wheel is more than other wheels, and the torque on the outer wheels is more than inner wheels. The power consumption decreases 1.15% by quasi-neutral steering.

scholarly journals Efficient energy consumption for indoor mobile robot prototype under illumination

2018 ◽  
Vol 197 ◽  
pp. 11016
Author(s):  
Seilla Angelina ◽  
Shofuro Afifah ◽  
Paramadina Susamti ◽  
Rizki Ardianto Priramadhi ◽  
Denny Darlis
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Consumption ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Visible Light Communication ◽  
Mobile Robot Navigation ◽  
Energy Crisis ◽  
Lighting System ◽  
Large Power

In the next 20 years, energy consumption is expected to increase up to 30% and it will affect energy crisis. Energy crisis can be resolved by energy efficiency. The context of this paper is about the energy efficiency of a mobile robot in the industrial warehouse. Communications media which commonly used in mobile robot navigation such as Laser need large power consumption. In order to reduce power consumption, the system of this paper is designed to use visible light communication (VLC) for mobile robot navigation because VLC only utilize lights as the transmitter. Method of this paper is sending the data contained navigation coordinates which modulated on the lighting system, then data will be received by the photodetector and processed as mobile robot's navigation. From above system, by using 5,68-watt power on lighting system can be used to transmit navigation data with the range up to 2 meters. In the receiver side, a photodetector which uses as receiver generate maximum power 4,14 watt at 10 cm of height between transmitter and receiver while minimum generated power is 3,21 watt at 250 cm of height. The conclusion of this paper is generated power by a photodetector in navigation process mobile robot is affected by angle and distance between transmitter and receiver.

Energy Consumption Analysis of Pulverizing System in Coal-Fired Power Plant

2014 ◽  
Vol 988 ◽  
pp. 564-567
Author(s):  
Ji Li ◽  
Jun Wei
Keyword(s):  
Energy Consumption ◽  
Power Plant ◽  
Power Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Unit Power ◽  
Energy Consumption Analysis

Pulverizing system is the main energy-consumption equipment in coal-fired power plant, so it is of great significance to study energy-saving and optimization of pulverizing system. This paper first analyzes the situation and condition of pulverizing system in large-scale coal-fired power plant in China. According to analysis, coal mill and primary-air fan are the two main energy consumption facilities. Then their energy consumption characteristics, including power consumption and unit power consumption are studied. Subsequently, the energy-saving operation proposal for the pulverizing system is proposed.

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