Comparison of Different Types of Internal Model Controller architecture for a Boost Converter

Sarkar, Supriya; Ghosh, Shiuli Subhra

doi:10.1109/pesgre45664.2020.9070368

Cited by 8 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The primary pros of dead beat, internal model, and sliding-mode structures is providing output voltage without overshoot and ringing. Meanwhile, the complexity of dead beat and internal model control schemes makes them unpopular alternatives [14,15]. For example, sliding-mode technique behaves better in transients, parametric alterations, and chattering issues.…”

Section: Introductionmentioning

confidence: 99%

Generalised model predictive controller design for A DC–DC non‐inverting buck–boost converter optimised with a novel identification technique

Ghamari

Khavari

Molaee

et al. 2022

IET Power Electronics

View full text Add to dashboard Cite

An on-line generalised model predictive control (GMPC) strategy is designed and optimised with a novel identification procedure in the presence of different disturbances. The principle of MPC is utilising a discrete-time model of a system to reach the control variables with a prediction over these values, which is followed by computing a cost function for the control aims. Non-inverting buck-boost converter is a non-minimum phase system based on its boost mode, which makes a challenging condition for designing a stable controller. The proposed control technique described in this paper removes the requirement for a system mathematical model adopting a black-box identification method which can decrease the computational burden. Numerous harmful disturbances can affect a DC-DC converter; thus, the GMPC scheme is used along with a novel improved exponential regressive least identification algorithm as an adaptive strategy for the controller to optimise the gains of the controller in an on-line way resulting in better disturbance rejection. A PID controller with particle swarm optimisation algorithm is designed for this converter to be compared with the GMPC controller. Finally, the efficiency of the GMPC is verified in various performances with experimental and simulation results.

show abstract

Section: Introductionmentioning

confidence: 99%