Energy Shaping Control for Wireless Power Transfer System in Automatic Guided Vehicles

Chen, Wenjie; Liu, Jia; Chen, Si; Zhang, Liyan

doi:10.3390/en13112959

Cited by 9 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in [5] designed a novel DC power supplier for industrial robots to reduce the total energy consumption for different electrical power profiles. In addition, the authors in [6]- [14] proposed power management, wireless power transfer systems and battery conservation methods to reduce the energy consumption for the robots. Besides, the energy harvesting method was proposed in [15]- [18] to have more power for the robot thus reduce the energy that need from the battery.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Minimization for Autonomous Mobile Robot: A Convex Approximation Approach

Van,

Tien,

Luong

et al. 2023

Journal of Robotics and Control

View full text Add to dashboard Cite

In this paper, we consider a trajectory design problem of an autonomous mobile robot working in industrial environments. In particular, we formulate an optimization problem that jointly determines the trajectory of the robot and the time step duration to minimize the energy consumption without obstacle collisions. We consider both static and moving obstacles scenarios. The optimization problems are nonconvex, and the main contribution of this work proposing successive convex approximation (SCA) algorithms to solve the nonconvex problems with the presence of both static and moving obstacles. In particular, we first consider the optimization problem in the scenario with static obstacles and then consider the optimization problem in the scenario with static and moving obstacles. Then, we propose two SCA algorithms to solve the nonconvex optimization problems in both the scenarios. Simulation results clearly show that the proposed algorithms outperform the A* algorithm, in terms of energy consumption. This shows the effectiveness of the proposed algorithms.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy Consumption Minimization for Autonomous Mobile Robot: A Convex Approximation Approach

Van,

Tien,

Luong

et al. 2023

Journal of Robotics and Control

View full text Add to dashboard Cite

show abstract

“…Wireless power transfer systems are being widely utilized as a solution to address these issues as shown in Figure 1. Wireless power transfer technology can be applied in various transportation systems within smart factories, including stoppers and automated guided vehicles, to create a clean and unrestricted transportation environment without limitations on the mobility of the systems [1][2][3]. It can significantly contribute to establishing a clean and unobstructed transportation environment within the smart factory.…”

Section: Introductionmentioning

confidence: 99%

The Efficiency Improvement of Track-Type Wireless Power Transmission Systems through Electromagnetic Finite Element Analysis

Joo,

Kim

2023

Energies

View full text Add to dashboard Cite

The original system, designed as a combination structure of a linear machine and a wireless power transmission transformer, was designed to overcome the limitations of the wired power supply method used for working robots and transportation equipment in existing smart factories, and improvements in magnetic coupling and power transfer efficiency are needed. In this work, we study the efficiency improvement of a system that can supply wireless power to track-type transportation equipment. For this purpose, electromagnetic properties such as magnetic equivalent resistance, inductance, magnetic coupling rate, and core loss are analyzed using the finite element method. In addition, the results of magnetic field finite element analysis are applied in electrical equivalent circuit modeling to analyze the voltage transfer ratio and input/output characteristics of a CLLC resonant converter designed for wireless power transmission. The efficiency improvements of the proposed model are verified through a comparison of experimental and simulation results after fabricating a prototype. From the results of this study, a more optimized wireless power transmission system design based on the analysis results from an electromagnetic perspective can be realized to improve the efficiency of wireless power transmission.

show abstract

“…However, to continue their operations, AGVs need to frequently recharged, and using a plug-in charging system decreases their utilization rate and increases the overall cost [11]. Therefore, the use of a WPT to energize these AGVs has solved the automated charging requirements and security concerns [12]. Apart from the above-mentioned benefits, an HESS has been implemented in LRVs to lower the power level of WPT charging systems [13].…”

Section: Introductionmentioning

confidence: 99%

LCC-S-Based Integral Terminal Sliding Mode Controller for a Hybrid Energy Storage System Using a Wireless Power System

et al. 2021

View full text Add to dashboard Cite

Unlike the plug-in charging system, which has safety concerns such as electric sparks, wireless power transfer (WPT) is less-time consuming, is environmentally friendly and can be used in a wet environment. The inclusion of hybrid energy storage systems (HESSs) in electric vehicles (EVs) has helped to increase their energy density as well as power density. Combined with static wireless power transfer, a WPT–HESS system is proposed in this article. The HESS system includes a battery and supercapacitor (SC) connected to a WPT system through DC–DC converters. To ensure a stable DC bus voltage, an inductor–capacitor–capacitor series (LCC-S) compensation network has been implemented in the WPT system. Utilizing the two-port network theory, the design equations of the LCC-S compensation network are derived in order to realize the maximum efficiency point for the WPT system. To ensure that the WPT system operates at this maximum efficiency point and that the SC is charged to its maximum capacity, an energy management system (EMS) has been devised that generates reference currents for both the SC and battery. An integral terminal sliding mode controller (ITSMC) has been designed to track these reference currents and control the power flow between the energy storage units (ESUs) and WPT system. The stability of the proposed system is validated by Lyapunov theory. The proposed WPT–HESS system is simulated using the MATLAB/Simulink. The robustness of the ITSMC against the widely used proportional–integral–derivative (PID) and sliding mode controller (SMC) is verified under abrupt changes in the associated ESU resistance and reference load current. Finally, the simulations of the WPT–HESS system are validated by controller hardware-in-loop (C-HIL) experiments.

show abstract

Energy Shaping Control for Wireless Power Transfer System in Automatic Guided Vehicles

Cited by 9 publications

References 27 publications

Energy Consumption Minimization for Autonomous Mobile Robot: A Convex Approximation Approach

Energy Consumption Minimization for Autonomous Mobile Robot: A Convex Approximation Approach

The Efficiency Improvement of Track-Type Wireless Power Transmission Systems through Electromagnetic Finite Element Analysis

LCC-S-Based Integral Terminal Sliding Mode Controller for a Hybrid Energy Storage System Using a Wireless Power System

Contact Info

Product

Resources

About