A Novel Scheduling Algorithm for Common Rail Dual Automatic Guided Vehicles Particle Filtering Algorithm for Industrial Process Control

Abstract

This paper explores deep into the collaborative scheduling of common rail dual automatic guided vehicles (AGVs). Firstly, a dual AGV scheduling model was constructed to minimize the overall time of material distribution. Then, a novel scheduling algorithm was developed to dynamically plan the orders based on time windows. To effectively minimize the distribution time, heuristic algorithms were adopted to initialize the distribution order of materials. On this basis, the collaboration between the two AGVs was innovatively designed based on dynamic planning and time windows, making up for the defects of traditional methods in AGV cooperation. This greatly shortens the running time of the entire system in material distribution. The computing results fully demonstrate the efficiency and rationality of our algorithm. Finally, our algorithm was proved to be superior to the benchmark method through experiments on actual industrial instances.

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.…”