Application of adaptive controllers to a solar power plant using a multi-model description

Gain-scheduled control of a solar power plant

“…When compared to the related approaches Pickhardt 1998 , the setpoint tracking performance of the gain-scheduled pole placement controller appears to be signi cantly better. One reason for this is that our approach is based on more accurate higher-order local models while the lower order models used in Pickhardt 1998 cannot be expected to capture the anti-resonant modes.…”

“…One reason for this is that our approach is based on more accurate higher-order local models while the lower order models used in Pickhardt 1998 cannot be expected to capture the anti-resonant modes. Another reason is that the local controllers are scheduled on the actual oil ow rate in our approach rather than the predicted steady-state oil ow rate, as in Pickhardt 1998 , or local model performance measures, as in Rato et al 1997 , both of which correspond to lower bandwidth in the scheduler.…”

“…In Camacho et al 1994, Camacho et al 1997 the local linear design was based on generalized predictive control and local linear ARX models, with excellent results. An adaptive gain-scheduled LQ design approach, also based on local linear ARX models, was investigated by Pickhardt 1998 . A control strategy based on switching between multiple local linear models controllers was suggested and tested by Rato et al 1997 . This paper is organized as follows: In section 2, a brief overview of the plant i s g i v en.…”

Numerical analysis of the inlet channel and basin geometries for vortex generation in a gravitational water vortex power plant

“…As the plant dynamics are mainly affected by the changes in the fluid flow, two tables of the process and the controller parameters were obtained for different fluid flow values. An alternative gain scheduling MPC approach, but also based on the fluid flow value, is proposed in [44] where linear ARMAX models were identified on-line for different operating points and used for an indirect adaptive MPC controller. 4) Nonlinear MPC: Linear control techniques can be effective in physical processes, which exhibit nonlinear behaviour to a small degree, for example where one is limited to a narrow range of operation.…”

Adaptive repetitive control for resonance cancellation of a distributed solar collector field

“…However, these models are not able to capture the intrinsic resonance dynamics of this kind of system. For the best representation of system dynamics, nonlinear models [5][6][7][8][9][10][11][12][13][14], frequency-based adaptive models [15] and high-order linear models have been proposed in the literature [5,[16][17][18][19][20].…”