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This work presents multi-scale model predictive control design scheme employing wavelet basis function. The proposed scheme is established upon multi-scale subspace identification technique. It is aimed to utilize the proficiency of wavelets in multi-scale data projection and the robustness of subspace identification during estimation in a model predictive control set-up. The multi-scale state-space models estimated at different scales are used for output prediction and for designing predictive control strategy. The competence of the proposed approach is established for constrained load-following problem of a pressurized water-type nuclear reactor. In addition, the fault-tolerant capability of the control algorithm is also tested.
|Title of host publication||15th European Workshop on Advanced Control and Diagnosis, ACD 2019|
|Publication status||Accepted for publication - 15 Sep 2019|
|Event||15th European Workshop on Advanced Control and Diagnosis - Bologna, Italy|
Duration: 21 Nov 2019 → 22 Nov 2019
|Name||Lecture Notes in Control and Information Sciences|
|Workshop||15th European Workshop on Advanced Control and Diagnosis|
|Abbreviated title||ACD 2019|
|Period||21/11/19 → 22/11/19|
- nuclear reactor
- subspace identification
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- 1 Finished
1/12/18 → 28/02/22