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In this architecture the task controller coordinates a set of behaviors such as collision avoidance, sensorial navigation schemes, and automatic camera orientation.
A programmable micro Task Controller (mTC) with a small instruction set and a novel pipelined configuration technique with descriptors as configuration templates allows a dynamic use of physical processing resources.
In this work, we have developed a task controller (TC) prototype with an ISOBUS-compatible process data messages to be able to utilize multiple external services such as WFS (Web Feature Service) during a spraying operation.
A high-fidelity vehicle dynamics model is derived while keeping the yaw rate decoupled from the lateral acceleration, in order to separate the primary path-following task (driver) from the secondary disturbance attenuation task (controller).
WCET and BCET analysis can be conducted using sup{TC.ExecutingThread} TC.wcet and inf{TC.Done}:TC.wcet, respectively, where TC is the task controller of the real-time task.
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Since a CNC kernel has a high capability real-time multi-task controller, it is important to develop CNC software based on non-real-time preempt multi-task operating system (Windows NT).
The multi-task controllers aim to adaptively compensate both structured perturbation and disturbance effects.
This new combination which eases the task of controller tuning, contains both model adaptation and auto-tuning capabilities within the same controller structure.
A multi-objective evolutionary algorithm is applied to the task of controller development, while an objective function ranks the system response to find the Pareto-optimal set of controllers.
For the control tasks dedicated controllers are designed, both using the nonlinear model predictive control method.
They also controlled the flash drives, which is no simple task: The controllers that come with modern commercial flash drives have as many as eight different processors and a gigabyte of working memory.
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