Linearized Large Signal Modeling, Analysis, and Control Design of Phase-Controlled Series-Parallel Resonant Converters Using State Feedback

Aboushady, Ahmed A.; Ahmed, Khaled; Finney, S.J.; Williams, B.W.

doi:10.1109/tpel.2012.2231700

Cited by 34 publications

(16 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While nonlinear control is robust and accurate, it is complex and hard for practical implementation. In [17,18], a series-parallel LCC resonant converter with an inductive output filter is modeled with multiple frequency modeling and averaged state-space techniques. The obtained linearized large signal model can be linearized and results in a natural closed-loop control.…”

Section: Introductionmentioning

confidence: 99%

A Linearized Large Signal Model of an LCL-Type Resonant Converter

Li¹,

Li²,

Lu³

et al. 2015

Energies

View full text Add to dashboard Cite

In this work, an LCL-type resonant dc/dc converter with a capacitive output filter is modeled in two stages. In the first high-frequency ac stage, all ac signals are decomposed into two orthogonal vectors in a synchronous rotating d-q frame using multi-frequency modeling. In the dc stage, all dc quantities are represented by their average values with average state-space modeling. A nonlinear two-stage model is then created by means of a non-linear link. By aligning the transformer voltage on the d-axis, the nonlinear link can be eliminated, and the whole converter can be modeled by a single set of linear state-space equations. Furthermore, a feedback control scheme can be formed according to the steady-state solutions. Simulation and experimental results have proven that the resulted model is good for fast simulation and state variable estimation.

show abstract

Section: Introductionmentioning

confidence: 99%

A Linearized Large Signal Model of an LCL-Type Resonant Converter

Li¹,

Li²,

Lu³

et al. 2015

Energies

View full text Add to dashboard Cite

show abstract

“…For the sake of comparison with multi-loop controller performance, Fig. 8 shows simulation output voltage results for SPRC using single-loop PI controller [16] and Fig. 9 illustrates the output voltage using the multi-loop controller.…”

Section: F Stability Studymentioning

confidence: 99%

“…By increasing the closed loop stability margin, loop gain can be increased to speed up system response and increase disturbance rejection capability [15]. In this paper, the singleloop output voltage PI controller in [16] is extended to include an inner control loop to enhance closed loop performance. However, using the high frequency resonant tank state variables of the SPRC for inner control loop realization is unpractical since much higher sampling (control) frequencies are required by the microcontroller in order to sample the variable used for control and convert it using PLL to an equivalent DC variable.…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, the feedback state variable used for the inner control loop is not directly sensed but instead estimated using a Kalman filter based on a SPRC linearized large signal model. Full detail of this model is given in [16]. The proposed Kalman filter estimator eliminates the sensor required to measure the inner control loop feedback variable, hence achieving sensorless multi-loop SPRC control.…”

Section: Introductionmentioning

confidence: 99%

“…The resulting DC state variables from the resonant tank are combined with the natural DC state variables of the output filter side (modeled with conventional average state-space modeling) using a linearization scheme to overcome the non-linearity imposed by the rectifier. The result is an aggregate large signal linear model for the complete converter, which is given by (1) and detailed in [16].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations