Model-Based Predictive Direct Control Strategies for Electrical Drives: An Experimental Evaluation of PTC and PCC Methods

By Fengxiang Wang, Shihua Li, Xuezhu Mei, Wei Xie, José Raúl Rodríguez Rodríguez, Ralph M. Kennel. IEEE Transactions on Industrial Informatics, 2015

326 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bb5888c4c55d49345cdc6f0aabfe24919d69af02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Tobias Geyer
2. Tomislav Dragicevic
3. Yongchang Zhang
4. José Raúl Rodríguez Rodríguez
5. Xiaoguang Zhang
6. Margarita Norambuena
7. Ali Emadi

In Electrical and Electronic Engineering

1. Tobias Geyer
2. Yongchang Zhang
3. Tomislav Dragicevic
4. José Raúl Rodríguez Rodríguez
5. Margarita Norambuena
6. Xiaoguang Zhang
7. Ali Emadi
8. Petros P. Karamanakos

Citations in the corpus

• Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods (2021, background): “From the theoretical point of view [118]–[120], the comparison of FOC, DTC, and MPTC (see the Fig.”
• Model Predictive Control for PMSM Drives With Variable Dead-Zone Time (2021, background): “there is voltage error between the selected voltage vector and the reference voltage vector, which affects the steady-state control performance to a certain extent [13].”