In the neutral point clamped (NPC) three-level inverter-permanent magnet synchronous motor system, traditional model predictive current control (MPCC) uses system to traverse 27 basic voltage vectors, achieve d-q axis component and of multi-objective optimal control. Finite set predicts state change target at future moments based on a finite number switching states inverter. The principle this ...

This paper presents a control strategy for fuel cell/energy storage power generation system during voltage sag conditions. The hybrid DC power sources are connected to grid using power electronic converters include DC-DC converter and grid connected voltage source inverter. The power from hybrid power sources is controlled during voltage sag by designing of control strategy for DC-DC converter....

in this paper a comprehensive approach is presented to improve power swings damping based on direct lyapunov method. the approach combines superconducting magnetic energy storage (smes) system with static synchronous compensator (statcom). considering the energy absorption/injection ability of smes, in transient states the combination exchanges both active and reactive powers with power system....

laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. therefore, it is widely adopted for complex industrial process control. in this work, laguerre function based adaptive model predictive control algorithm (ampc) was implemented to control continuous stirred tank rea...

Classical model-free predictive current control (MFPCC) is a robust technique for two-level inverter-fed induction-motor drive, with advantages that consist of simple concept, rapid response, implementation, and excellent performance. However, the classic finite-control-set MFPCC still exhibits significant ripple. This article presents method to enhance performance using combination discrete-sp...