Feedback Control Scheduling for Crane Control System

Naseer, Oumair; Shah, Akeel A.; Khan, Atif Ali

doi:10.1109/ecbs.2013.13

Cited by 2 publications

(4 citation statements)

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“…They compute and adjust the budget of each task according to its actual demand. Typical implementation employs feedback and prediction mechanisms together with online schedulability testing to measure and predict the resource reservations during runtime [55][56][57][58]. This kind of technique has been barely considered in the area of MCS.…”

Section: Related Workmentioning

confidence: 99%

A Design That Incorporates Adaptive Reservation into Mixed-Criticality Systems

Guan

Peng

Perneel

et al. 2017

Scientific Programming

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This paper presents a design and implementation of a Mixed-Criticality System (MCS) extended fromμC/OS III. It is based on a MCS model that uses an adaptive reservation mechanism to cope with the uncertainties in task execution times and to increase the resource utilization in MCS. The implementation takes advantage of the tasks’ recent execution records to predict their required computational resource in the near future and adjusts their reserved budget according to their criticality levels. The designed system focuses on soft real-time tasks. An overrun tolerance algorithm is used to limit the deadline miss ratios between a rise to the task’s actual consumption and the change to the amount of reservation. More than two criticality levels can be handled without introducing obvious additional overhead at each added level. The case study evaluation demonstrates that the reserved resource for each task is always close to its actual consumption; the tasks’ deadline misses are bounded by the different requirements specified by the criticality levels; during overload conditions, high-criticality tasks are guaranteed to have sufficient resource reservation. Although there is still room for improvement if it comes to processing overhead, this research brings some inspirations in both modelling and implementation aspects of MCS.

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Section: Related Workmentioning

confidence: 99%

A Design That Incorporates Adaptive Reservation into Mixed-Criticality Systems

Guan

Peng

Perneel

et al. 2017

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…System response in presence of transient fault and FT schemes for hard real time systems to achieve dependability in X-by-Wire (XBW) systems is addressed in [26 and 27]. A fault tolerant scheduling for hard real time systems is addressed in [38], but this work only focuses on maintaining CPU scheduling with specified scheduling bound by making sure that SC tasks will meet their deadlines. Moreover, this work doesn't capture the task state in fault mode and provides less information about data loss.…”

Section: Related Workmentioning

confidence: 99%

“…In [11] Author provides an approach to recover system from fault mode for parallel systems using check pointing FT scheme and control theory. Trade-offs between reliability/FT and control theoretical methods is addressed in [38]. In [15] author uses a double feedback based control scheduling approach for real time systems to achieve high performance.…”

Section: Related Workmentioning

confidence: 99%

“…Every node in the system integrated architecture utilizes the same configuration. Crane control system consists of two major parts; an Operator control unit (OCU) and a Machine Control Unit (MCU) [36][37][38]. Both OCU and MCU contain two microcontrollers Renesas M16C62p [30], which is the most popular microcontroller used in motor industry for industrial automation and it contains a built-in I2C for multi-processor communication.…”

Section: System Architecture and Implementationmentioning

confidence: 99%

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