Qualified Analysis of DSMC over SMC for Boost Converter

Karthikeyan, Viji; Kumar, Anil; Ramrao, Nagaraj

doi:10.14257/ijca.2017.10.12.18

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The circuit diagram of the boost converter is shown in Figure 2, where Vin is the supply voltage, L is the inductor connected in series with the supply voltage, a switch S1 is in shunt with the source and a capacitor C is connected across the load resistance R [9]. The discrete model of boost converter based SMC is represented by the ( 1) and ( 2), represents the discrete model when the switch is ON, (2) represents the discrete model when the switch is OFF [14].…”

Section: Research Methods 21 Design Of Dsmc Based Boost Convertermentioning

confidence: 99%

Input-output linearization of DC-DC converter with discrete sliding mode fuzzy control strategy

Karthikeyan

Tiwari²,

Vedi

et al. 2022

IJECE

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The major thrust of the paper is on designing a fuzzy logic approach has been combined with a well-known robust technique discrete sliding mode control (DSMC) to develop a new strategy for discrete sliding mode fuzzy control (DSMFC) in direct current (DC-DC) converter. Proposed scheme requires human expertise in the design of the rule base and is inherently stable. It also overcomes the limitation of DSMC, which requires bounds of uncertainty to be known for development of a DSMC control law. The scheme is also applicable to higher order systems unlike model following fuzzy control, where formation of rule base becomes difficult with rise in number of error and error derivative inputs. In this paper the linearization of input-output performance is carried out by the DSMFC algorithm for boost converter. The DSMFC strategy minimizes the chattering problem faced by the DSMC. The simulated performance of a discrete sliding mode fuzzy controller is studied and the results are investigated.

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Section: Research Methods 21 Design Of Dsmc Based Boost Convertermentioning

confidence: 99%

Input-output linearization of DC-DC converter with discrete sliding mode fuzzy control strategy

Karthikeyan

Tiwari²,

Vedi

et al. 2022

IJECE

Self Cite

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“…PLC based implementation made it possible within this system. The robustness in SMC control techniques in [29][30] can be adapted to IP related works in future.…”

Section: Major Milestonesmentioning

confidence: 99%

Survey on Robust Control Applications in Inverted Pendulum Systems

Johnson¹,

Aziz²,

Parvathy³

et al. 2022

IJEAST

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The Inverted Pendulum (IP) systems are the benchmark problems in control literature. The general control strategy is the feedback control system, which can be used to measure continuously the angle of the pendulum, thereby commanding the cart to move to and fro so that the pendulum will be balanced in the upright position. Though there are control simulations with experimentation available, about half century back, the robust control studies with IP have gained remarkable attention only in the last two or three decades. The robust techniques like 𝑯∞, µ-Synthesis, SMC, LTR, Lyapunov approach etc. are mentioned here. Control experimentation with IP related studies based on robust point of view is very essential since the growing importance of robust techniques in control system community. The proposed paper is a brief survey of the so called literature mentioned in the past three or four years.

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