Controlling systems with long time delays using pole-positioning technique and optimal-linear-regulator theory
A method is described for control of plants with long transportation lags. This is achieved by making use of the design advantages offered by optimal-linear-regulator theory and the pole-positioning technique. The system states required by the state-vector feedback algorithm are obtained from a Luenberger observer, thus eliminating the need for specific plant instrumentation to implement the scheme. To demonstrate the proposed ideas, a sinter plant model is used in the case study presented.
Simulating a radial-inflow turboexpander from its nozzle inlet to the impeller output as the single nozzle, and through theoretic analysis, this thesis concludes two general characteristic models for design and off-design steady-state of the turboexpanders. Based on experiment data, and generalized least squares method is used in imitation of the data, the coefficient solutions which are needed to describe the models have been obtained. Using the model to predict performance of the other two turboexpanders, the results show that the two general characteristic models in this thesis are more accurate and universal. Therefore, in design of turboexpanders, as two important models, they can give a base for optimizing design and off-design characteristic.