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Unlike continuous processes, the dynamic simulation of batch processes requires the execution of control recipes to achieve a set of production orders.
The proposed work outlines a scheduling approach – named ISA Integrated Scheduling Architecturee) – supporting the dynamic execution of control tasks in distributed control systems while enriching the control nominal behavior with data gathered from the shop-floor.
Self-triggered control is a recently proposed paradigm that abandons the more traditional periodic time-triggered execution of control tasks with the objective of reducing the utilization of communication resources, while still guaranteeing desirable closed-loop behavior.
Given a priori knowledge of an object (e.g. the diameter of a sphere), the proposed controller will be able to determine the finger control inputs from a predefined quadratic function that will result in the fast execution of control algorithms.
It has to fulfill a multitude of functional requirements such as: Telecommand interpretation and execution, execution of control loops, generation of telemetry data and frames, failure detection isolation and recovery, the communication with peripherals and so on.
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Using three case studies, our research uncovers two high-functioning control patterns – one with traditional characteristics and one with agile characteristics – that demonstrate positive alignment among the control environment, control mechanisms, socio-emotional behaviors, and execution of controls.
Such a hardware implementation of the controller enables effective execution of concurrent control tasks by parallel operation of the control processing units.
Thanks to this latter property, it becomes straightforward to design the control laws according to the average execution times of control tasks, and guaranteeing that in the worst-case scenario, the minimal allowable performance will be achieved.
A flight control example is presented to explain the procedures for reliability analysis, coverage calculation, the execution of supervisory control, and the construction of fitness landscapes that define the place of a discrete state in the continuous state control system.
A dSPACE DS1104 DSP prototyping platform is used to handle the real-time execution of the control programs.
The two alternatives are evaluated through simulated execution of representative control software with detailed modeling of cache/memory effects and bus contention.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com