TY - JOUR
AU1 - Dundar, Baris
AU2 - Cihanbegendi, Ozge
AU3 - 
AB - This article proposes a method to speed the slow response issues (rise time, settling time and prediction) of the existing MPC algorithms up due to the computation load of online optimization without reducing computation load. In the method, original MPC strategy is warped using an integer time scaling factor in time domain. The aim is to speed this strategy up by exploiting the speeds of fast microprocessors. For this aim, an integer time scaling factor is selected according to the limit of the used microprocessor. Solution of plant, which is controlled, is contracted and sampled by this scaling factor. Standard MPC problem is based on this modification of plant. The first elements of fast computed control law vectors are dilated until original online optimization sampling period is reached again and applied to plant at each sampling period. The modified MPC strategy, which is called Upsampled MPC (UMPC), settles faster to desired output than original MPC strategy and also satisfies faster prediction at each sampling period. Since the method is more compatible with fast microprocessor and the speed of UMPC results from microprocessor, slow operation issue of MPC algorithms is solved for different time scaling factors by this method. Therefore, 
TI - A Fast Strategy for Model Predictive Control
JF - International Journal of Scientific Research and Management
DO - 10.18535/ijsrm/v8i03.ec01
DA - 2020-03-05
UR - https://www.deepdyve.com/lp/unpaywall/a-fast-strategy-for-model-predictive-control-hjfxPw9V4f
DP - DeepDyve
ER -