Pathfinder–Development of Automated Guided Vehicle for Hospital Logistics

Se presenta una revisión del estado del arte de vehículos de guiado autónomo (AGV por sus siglas en inglés: Automated Guided Vehicle) para el transporte de objetos y materia prima en aplicaciones industriales. La revisión de literatura hace énfasis en varios aspectos como la identificación del lugar, aplicación en diferentes entornos, control del vehículo y descripción de los sistemas de software usados para la programación de los robots móviles, de acuerdo a los requisitos o necesidades a resolver. Adicionalmente, se hace un análisis, con base a las referencias citadas, del aporte que hace este tipo de tecnologías no solo a la industria, sino también a otros tipos de modelo de negocio, como lo son el área de la salud, los sistemas de transporte urbano, entre otros.

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“…Figura 3. Algunos componentes mecánicos, electrónicos y de comunicación que usa un AGV y lo prepara para la Industria 4.0 (Bacik 2017) [20].…”

Section: Marco Referencialunclassified

Vehículos de guiado autónomo (AGV) en aplicaciones industriales: una revisión

Moreno

Ceballos

2019

Rev. politec.

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“…The braking energy recovered by this method is increased by 20% compared with the traditional regenerative braking control method. In [22][23][24][25], to recover the braking energy as much as possible and appropriately reduce the braking stability, the front and rear axle actual brake force distribution lines are paralleled to the I curve outside. Literature [26][27][28] uses a new type of energy recovery system on electric buses.…”

Section: Related Workmentioning

confidence: 99%

Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation

2018

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Aiming at the braking energy feedback control in the optimal energy recovery of the two-motor dual-axis drive electric vehicle (EV), the efficiency numerical simulation model based on the permanent magnet synchronous motor loss was established. At the same time, under different speed and braking conditions, based on maximum recovery efficiency and data calculation of motor system, the optimization motor braking torque distribution model was established. Thus, the distribution rule of the power optimization for the front and rear electric mechanism was obtained. This paper takes the Economic Commission of Europe (ECE) braking safety regulation as the constraint condition, and finally, a new regenerative braking torque distribution strategy numerical simulation was developed. The simulation model of Simulink and CarSim was established based on the simulation object. The numerical simulation results show that under the proposed strategy, the average utilization efficiency of the motor system is increased by 3.24% compared with the I based braking force distribution strategy. Moreover, it is 9.95% higher than the maximum braking energy recovery strategy of the front axle. Finally, through the driving behavior of the driver obtained from the big data platform, we analyze how the automobile braking force matches with the driver’s driving behavior. It also analyzes how the automobile braking force matches the energy recovery efficiency. The research results in this paper provide a reference for the future calculation of braking force feedback control system based on big data of new energy vehicles. It also provides a reference for the modeling of brake feedback control system.

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“…In recent years, due to its high degree of automation and strong adaptability, logistic robots play an increasingly important role in automation and intelligent industrial production activities, and widely used in automotive, electronics, e-commerce and other fields [1]- [3]. At present, logistic robots are mainly charged by cable, it has the disadvantages of large battery consumption, short cruising range and long charging time [4], and the use of cable charging greatly limits the charging position of the logistics robot, which has been unable to meet the characteristics of the fully automated operation of the logistics robot.…”

Section: Introductionmentioning

confidence: 99%

Omnidirectional and Efficient Wireless Power Transfer System for Logistic Robots

Zheng

Zhang

2020

IEEE Access

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The WPT system for logistic robots has the problems of large fluctuation of charging power and low efficiency due to the change of its position. Based on the principle of parity time symmetry, an omnidirectional and efficient wireless power transfer system for logistic robots is proposed. Firstly, the coupling coefficient of two planar spiral coils in different relative positions in space are studied. Then, a time-varying coupled-mode model of the WPT system based on the offset angle of the receiver coil is established, and its working principle and characteristics are analyzed. As long as the coupling coefficient satisfies certain conditions, the output power and efficiency of the system are always keeping constant. Finally, the proposed model is experimentally verified. The measured results show that the WPT system proposed can realize stable 150W power transfer with constant transmitting efficiency of more than 90% for a logistic robot within a confined three-dimensional space around the charging station, which are provided to further verify the correctness of theoretical analysis. INDEX TERMS Wireless power transfer, omnidirectional, parity time symmetry, coupled-mode theory, logistic robots.

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Pathfinder–Development of Automated Guided Vehicle for Hospital Logistics

Cited by 61 publications

References 17 publications

Vehículos de guiado autónomo (AGV) en aplicaciones industriales: una revisión

Vehículos de guiado autónomo (AGV) en aplicaciones industriales: una revisión

Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation

Omnidirectional and Efficient Wireless Power Transfer System for Logistic Robots

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