摘要
This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To reach this goal, we propose a new modified Banker's algorithm(MBA) to ensure that all resources required by these jobs can be freed. Moreover,a Petri net based deadlock avoidance policy(DAP) is introduced to ensure that all jobs remaining in the system after executing the new MBA can complete their processing smoothly when their required unreliable resources are operational. The new MBA together with the DAP forms a new DAP that is robust to the failures of unreliable resources. Owing to the high permissiveness of the new MBA and the optimality of the DAP, it is tested to be more permissive than state-of-the-art control policies.
基金
supported in part by the Fundamental Research Funds for the Central Universities(3102017OQD110)
the Natural Science Basic Research Plan in Shaanxi Province of China(2019JQ-435)
the Project Funded by China Postdoctoral Science Foundation(2019M663818)
the National Key Research and Development Program of China(2019YFB1703800)
Guangdong Basic and Applied Basic Research Foundation(2019A1515111076)
the National Natural Science Foundation of China(71931007)。
