Energy-Efficient Path-Following Control System of Automated Guided Vehicles

Abstract

The theoretical bases of optimal tracking systems synthesis are considered. The main purpose of such systems is to keep the error between the actual and desired outputs of the system at a low level with minimal energy consumption. This concept is appealing to the fact that the vast majority of control systems solve problems without regard to the expediency of using the internal energy resources of the system itself. The main task of an automated guided vehicle is to move from one point to another. An algorithm for forming the desired trajectory between two points, specified on the map, was developed. With optimal energy consumption, this approach will make a practical contribution to the field of automation, self-driving cars, etc. The concept of optimal, energy-efficient control has been implemented. Several experiments with different regulators have been carried out to verify the concept of the tracking systems and to convince the significant advantage of the optimality among the other systems.

Review of Traction System, Energy Efficiency and Electrical Design of Automated Guided Vehicles in Automotive Industry

“…A summary from the state of the art is given below: 1) Energy consumption and prediction models for a given load and speed profile: In [52], variation of power and SOC of the AGV energy storage system is simulated for different operation conditions. 2) Path planning minimizing the distance: In [53], using the linearized AGV model, path planning control is implemented using the constraint of minimum energy consumption.…”

Blockchain and Autonomous Vehicles: Recent Advances and Future Directions

“…In [166], the theoretical methodology of the optimal tracking synthesis system is proposed. Here, actual and desired outputs are compared and monitored.…”

“…Here, actual and desired outputs are compared and monitored. Further, the minimum error between both results is noted while reducing energy consumption to its minimum [166] [167]. The vehicle's observations are planned to move from one location to another in association with algorithm design and development.…”

“…Hence accordingly, follow the proposed track between the two locations, which is reflected in the specified map. The contribution of this approach is systematically remembered in the automation of electric vehicles [166].…”

A method for reliability detection of automated guided vehicle based on timed automata

“…By changing the structure of the vehicle or optimizing the charging mechanism, the system performance is improved and the hardware design is optimized. Based on the software performance of the guided vehicle (J. C. Chen et al, 2021;Karim et al, 2021), Farooq et al optimize the routing CONTACT Xuefeng Deng dxf@sxau.edu.cn and decision-making performance, as well as the cooperative scheduling algorithm and the energy efficiency improved according to the optimal tracking system synthesis theory (Farooq et al, 2021;Gao et al, 2021;Holovatenko & Pysarenko, 2021). With the progress of artificial intelligence technology, the introduction to intelligent algorithms has promoted a variety of fields, such as image analysis and processing (Zeng, Li, et al, 2021;Zeng et al, 2019), algorithm optimization (Zeng, Song, et al, 2020;Zeng, Wang, et al, 2020) and other aspects.…”