Abstract
The implementation of industrial control applications typically
introduces complexities like sampling jitter and control jitter,
which have usually not been considered at the design stage.
Consequently, the system behaves in a non-periodic manner and the
real performance is degraded with regard to the expected response.
This paper proposes a hybrid task model to reduce the impact of the
scheduling on control performance. For a large batch of typical
plants, we analyze how sensitive a control system is to jitter when
the sampling rate is slow or fast compared to the bandwidth of the
system.
introduces complexities like sampling jitter and control jitter,
which have usually not been considered at the design stage.
Consequently, the system behaves in a non-periodic manner and the
real performance is degraded with regard to the expected response.
This paper proposes a hybrid task model to reduce the impact of the
scheduling on control performance. For a large batch of typical
plants, we analyze how sensitive a control system is to jitter when
the sampling rate is slow or fast compared to the bandwidth of the
system.
| Original language | English |
|---|---|
| Publication status | Published - 2006 |
| Event | 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications - Sydney, Australia Duration: 0001 Jan 2 → … |
Conference
| Conference | 12th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 0001/01/02 → … |
Subject classification (UKÄ)
- Control Engineering