Constrained Predictive Control of Three-PhaseBuck Rectifiers

Abstract

In this paper, constrained optimal control of a current source rectifier (CSR) is presented, based on a mathematical model developed in Park's frame. To comply with the system constraints an explicit model-based predictive controller was established. To simplify the control design, and avoid linearization, a disjointed model was utilised due to the significant time constant differences between the AC and DC side dynamics. As a result, active damping was used on the AC side, and explicit Model Predictive Control (MPC) on the DC side, avoiding non-linear dynamics. The results are compared by simulation with the performance of a state feedback control.

A Highly Reliable, Modular, Redundant and Self-Monitoring PSU Architecture

“…In terms of robustness of such systems successful results have been achieved in the field of fault diagnosis and fault tolerant techniques [9] - [11]. Basically, we can define the following categories for fault diagnosis methods: [12]- [14] The outputs of the system-model and the outputs of the real system is compared  Signal-based [15]- [18] A diagnostic decision is made based on the measured signal  Knowledge-based [19]- [21] A large volume of historic data is needed  Hybrid and active [22]- [24] Combination of the previous methods based on their advantages…”

Follow-up Control of a Second Order System in Sliding Mode

“…The reference signal was constant in all the aforementioned papers. Recently, the application of predictive control has become popular [12]. The new element in this paper is that the original method was extended for Follow-up Control.…”

Redundant Photo-Voltaic Power Cell in a Highly Reliable System

“…Model-based [16][17][18][19][20][21]: the outputs of the system-model and the outputs of the real system are compared to each other. • Signal-based [22][23][24][25][26][27][28]: a diagnostic decision is made based on the measured signal.…”