Abstract
This paper presents a resource management strategy for control tasks
that maximizes control performance within the available resources by
readjusting the task periods at run-time. A feedback scheduler is
used to determine on-line the optimal task periods considering the
response over a finite time horizon of the plants controlled by
arbitrary linear control laws. We show how this problem can be
expressed as an optimization problem, where the objective function
relates the sampling periods to the transient responses of the
controlled plants, and where restrictions are based on EDF
schedulability constraints. For the general case, the solution of
the optimization problem is computationally expensive, and thus, an
approximate procedure to be executed on-line has been developed. We
present simulation results that validate the presented approach.
that maximizes control performance within the available resources by
readjusting the task periods at run-time. A feedback scheduler is
used to determine on-line the optimal task periods considering the
response over a finite time horizon of the plants controlled by
arbitrary linear control laws. We show how this problem can be
expressed as an optimization problem, where the objective function
relates the sampling periods to the transient responses of the
controlled plants, and where restrictions are based on EDF
schedulability constraints. For the general case, the solution of
the optimization problem is computationally expensive, and thus, an
approximate procedure to be executed on-line has been developed. We
present simulation results that validate the presented approach.
| Original language | English |
|---|---|
| Publication status | Published - 2006 |
| Event | 18th Euromicro Conference on Real-Time Systems - Dresden, Germany Duration: 0001 Jan 2 → … |
Conference
| Conference | 18th Euromicro Conference on Real-Time Systems |
|---|---|
| Country/Territory | Germany |
| City | Dresden |
| Period | 0001/01/02 → … |
Subject classification (UKÄ)
- Control Engineering