Optimal On-line Sampling Period Assignment for Real-Time Control Tasks Based on Plant State Information
Publikation/Tidskrift/Serie: Proceedings of the 44th IEEE Conference on Decision and Control and the 2005 European Control Conference
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.
The paper presents a feedback scheduling strategy for multiple control tasks that uses feedback from the plant states to distribute the computing resources optimally among the tasks. Linear-quadratic controllers are analyzed, and expressions relating the expected cost to the sampling period and the plant state are derived and used for on-line sample-rate adjustments. In the case of minimum-variance control of multiple integrator processes, an exact expression for the optimal sampling periods is obtained. For the general case, an on-line optimization procedure is developed. The approach is exemplified on a set of controllers for first-order systems. The issues of computational delay and the choice of the feedback scheduler period are also discussed.
- Control Engineering
- Plant state information
- Linear-quadratic controllers
- Multiple control tasks
44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
- ISBN: 0-7803-9568-9