On automatic adjustment of the sampling period
The sampling period can be considered as an additional parameter in the design of a controller. In this paper we present an automatic adjustment procedure of the sampling period that tries to maintain constant the number of samples during the rise time If the sampling period is modified obviously the parameters of the discrete model will change. However from the knowledge of the initial sampling period, the final sampling period and the initial values of the parameters it is possible to deduce a good approximation for the final parameters once the sampling period has been adjusted. In this sense a new approximate method, very simple to implement, is proposed. The results obtained in simulation confirm the possibilities of the method.
Unable to display preview. Download preview PDF.
- 1.L.W. Gardenhire: Selection of Sample Rates. ISA Journal, April, 59–64 (1964).Google Scholar
- 2.K.J Åström, B.W. Wittenmark: Computer Controlled System:Theory and Design. Prentice Hall, 2nd Edition (1990).Google Scholar
- 3.S.M. Melzer, B.C. Kuo: Sampling Period Sensitivity of the Optimal Sampled Data Linear Regulator. Automatica, 7, 367–370 (1971).Google Scholar
- 4.J.F. MacGregor: Optimal choice of the sampling interval for discrete process control.Technometrics, 18, 2, 151–160 (1976).Google Scholar
- 5.T. Söderström, B. Lennartsson: On linear optimal control with infrequent output sampling. In: J.E. Marshall et al (eds): Third IMA Conference on Control Theory, New York, Academic Press (1981).Google Scholar