2011
DOI: 10.1016/j.conengprac.2010.08.007
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive control design for a boost inverter

Abstract: In this paper, a novel control strategy for a nonlinear boost inverter is proposed. The idea is based on generating an autonomous oscillator that does not need an external reference signal. This aim is achieved by using energyshaping methodology with a suitable Hamiltonian function which defines the desired system behavior. A phase controller is added to the control law in order to achieve 180 •-synchronization between both parts of the circuit as well as synchronize the voltage output with a pre-specified sig… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(14 citation statements)
references
References 37 publications
0
14
0
Order By: Relevance
“…Considering small values of T in the usual discretization of the continuous-time equation (2) may lead to several numerical problems. However, when T goes to zero, matrices A σ and B σ of the δ-modulator model converge to A σ and B σ , respectively, retrieving the continuoustime model (2). Another important issue is that matrices A σ and B σ depend explicitly on the switching period T .…”
Section: Problem Formulation a Continuous-time Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…Considering small values of T in the usual discretization of the continuous-time equation (2) may lead to several numerical problems. However, when T goes to zero, matrices A σ and B σ of the δ-modulator model converge to A σ and B σ , respectively, retrieving the continuoustime model (2). Another important issue is that matrices A σ and B σ depend explicitly on the switching period T .…”
Section: Problem Formulation a Continuous-time Modelmentioning
confidence: 99%
“…The literature on this power converters systems is quite rich and several control laws have been designed. One of the most popular approach relies on an average model, allowing to remove the hybrid nature of the systems and to focus on the study of a continuous-time model [2], [17], [22]. The price to pay is that the discrete behavior of the switches is lost, limiting the system performance.…”
Section: Introductionmentioning
confidence: 99%
“…, β N ), and, for each one of these, (28) was solved with the YALMIP+SeDuMi solver, producing a family of controllers described in (30). The final implementation of the LQR-Robust-Gain-Scheduling (LQR-R-GS) controller in the dSPACE was carried out with the help of lookup tables, used to store the family of feedback gains (30), and by interpolating them for intermediate results (see Figure 5). Albeit the lookup tables must store 110 points and perform 10 interpolations in each sampling time, the complexity of this operation is moderately low because all the tables share the same input, which enables the application of efficient prelookup techniques [48].…”
Section: A Overview Of the Experimental Setupmentioning
confidence: 99%
“…These aims are mainly accomplished through either sliding mode approach that exploits the inherent variable structure nature of the converter [7,8] or using the pulse width modulation (PWM) feedback strategies. Within the latter stream, several methods have been employed varying from linear such as the proportional and integral (PI) controller [9] and the proportional and resonant (PR) controller [10,11] to nonlinear schemes such as sliding mode controllers [12] and adaptive controllers [13].…”
Section: Introductionmentioning
confidence: 99%