Title :
Sampled Data Model Predictive Control of a Voltage Source Inverter for Reduced Harmonic Distortion
Author :
Almer, Stefan ; Mariethoz, Sebastien ; Morari, Manfred
Author_Institution :
Autom. Control Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
Abstract :
This brief considers model predictive control of switched mode power converters using a hybrid sampled data model. The goal of the approach is to synthesize a controller that achieves both good dynamic performance and low harmonic distortion at steady state. The suggested control approach takes the switched nature of the converter into account in both the system model and the control objective. This has two main advantages. First, it removes the need for the low-pass filters which are conventionally applied to the state measurements to attenuate the switching ripple. This implies that improved dynamic performance can be obtained. Second, it penalizes the ripple deviation from the reference, which means that reduced harmonic distortion can be obtained at steady state.
Keywords :
PWM invertors; control system synthesis; predictive control; sampled data systems; switching convertors; control objective; controller synthesis; dynamic performance improvement; harmonic distortion reduction; hybrid sampled data model predictive control; ripple deviation penalization; steady state; switched mode power converters; system model; voltage source inverter; Data models; Harmonic distortion; Inverters; Pulse width modulation; Switches; Voltage control; Inductance-capacitor-inductance (LCL) filter; model predictive control (MPC); optimal pulse-width modulation (PWM); sampled data model; switched mode power converter;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2012.2214777