A Comparative Analysis of Sliding Mode Controllers Based on Internal Model for a Nonminimum Phase Buck and Boost Converter

Cajamarca, Byron Gustavo Loarte; Patiño, Kleber; Camacho, Oscar; Chávez, Danilo; Leica, Paulo; Pozo, Marcelo

doi:10.1109/inciscos49368.2019.00038

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Discrete control techniques can perform well based on the switching properties of the Boost converter. The following methods are some of the most popular controllers: Sliding-mode (SM) control [7,8], Model Predictive Control(MPC) [9][10][11], Fuzzybased strategies [12,13], dead beat control [14,15], and Internal Model Control (IMC) [16,17]. The main advantages of Fuzzy and MPC are its robustness in load uncertainty and minimum distortion of the output signal; yet, it suffers from the high computational burden and slow dynamics.…”

Section: Introductionmentioning

confidence: 99%

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Mollaee

Ghamari

Khavari

2022

IET Power Electronics

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The design of a self-tuning regulator adaptive controller is presented for Boost converter using Pulse Width Modulation, which has been improved in dynamic with a novel Robust Improved Exponential Regressive Least Square identification scheme. Regarding the negative influences of harmful disturbances on the converters, the Minimum Degree Pole Placement technique is designed using an adaptive mechanism with an online identification technique, which is simple in structure and can provide more accurate parametric estimation and better efficiency in challenging situations, particularly against noise. Based on the right half-plane zero structure of the Boost converter, the open-loop system is called a non-minimum phase system which creates some challenging constraints for the controller design. The primary objective of designing a feedback loop controller is to ensure the stability of the system and appropriate regulation within a pre-determined range of operating conditions. This controller considers the system as a black-box structure; thus, the mathematical model of the system is not needed. This benefit can decrease the computational burden, and provides faster dynamics along with ease of implementation. Finally, the strength of this control strategy is tested by experimental and simulation results in different conditions.

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Section: Introductionmentioning

confidence: 99%

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Mollaee

Ghamari

Khavari

2022

IET Power Electronics

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“…Meanwhile, a popularity is growing for the control techniques containing more well-behaved structures, which has led to the digital controllers in switching circuits. Because of the switching properties of buck-boost converters and the non-minimum structure presented by boost typologies, methods such as sliding-mode [10], dead beat [11], and internal model controllers [12,13] are proposed which using an adaptive mechanism. The primary pros of dead beat, internal model, and sliding-mode structures is providing output voltage without overshoot and ringing.…”

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

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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.

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Trajectory tracking for non-holonomic mobile robots: A comparison of sliding mode control approaches

Medina,

Guerra,

Herrera

et al. 2024

Results in Engineering

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A Comparative Analysis of Sliding Mode Controllers Based on Internal Model for a Nonminimum Phase Buck and Boost Converter

Cited by 7 publications

References 9 publications

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

Self‐tuning regulator adaptive controller design for DC‐DC boost converter with a novel robust improved identification method

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

Trajectory tracking for non-holonomic mobile robots: A comparison of sliding mode control approaches

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