State-space Modelling and Digital Controller Design for DC-DC Converter

Ibrahim, Oladimeji; Yahaya, Nor Zaihar; Saad, Mohamad Naufal Mohamad

doi:10.12928/telkomnika.v14i2.3042

Cited by 14 publications

(6 citation statements)

References 14 publications

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“…This research could be expanded to include an accurate voltage and current sensor to obtain power usage data from all electrical components as a feedback for operator. It should be noted that DC-DC converter output stability is required for ROV's operation [22]. A user-friendly graphical user interface should be developed to provides visual information for user [23].…”

Section: Discussionmentioning

confidence: 99%

An electrical power control system for explorer-class remotely operated underwater vehicle (ROV)

et al. 2019

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The importance of an optimal method for electric power transmission is crucial for ROV operation. Meanwhile, only few studies have shown the effect of electrical power system from power supply to ROV.This paper proposes a design and implementation of electrical power system for ROV that developed by Tech_SAS team from Telkom University, Bandung, Indonesia. This work aims to obtain the optimal power system to supply ROV's electrical and electronic components. Tech_SAS ROV is developed to compete on 1st and 2nd ASEAN MATE Underwater Robotic Competition. The system has demonstrated that 48V electric voltage can be transmitted to ROV with negligible voltage drop when using 20 meter 12AWG cable. The voltage is converted to 12V using DC-DC converter in order to supply various ROV's electronic devices ROV safely and efficiently. Meanwhile, the microcontroller was used to as thrust control to manage current flow to DC motor. The system has been evaluated and demonstrates optimal results and provides a design consideration about ROV's power system especially on tether cable and power distribution scheme.

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Section: Discussionmentioning

confidence: 99%

An electrical power control system for explorer-class remotely operated underwater vehicle (ROV)

et al. 2019

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“…Both Kirchoff current and voltage laws are employed to obtain the mathematical model of this converter, which results nonlinear features [5]. The deeper explanation in how to obtain the dynamic model of this converter is studied in [2,5]. This converter is assumed to be an ideal model, in which parasitic effects are not taken into account.…”

Section: Observer Designmentioning

confidence: 99%

“…This is the reason why power electronics devices, such as dc-dc converters, have to be better day by day in order to have maximum efficiency and well-controlled. In general, dc-dc converters are employed to alter the voltage level from renewable energy sources to voltage level consumed by either load or grid [2,3]. There are many types of dc-dc converter, namely buck [4], boost [5], buck-boost [6], SEPIC [7], Cuk [8], and Zeta [9] converters.…”

Section: Introductionmentioning

confidence: 99%

Voltage Regulation of Boost Converter using Observer based Sliding Mode Controller

et al. 2018

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This study dealt with output voltage regulation of boost converter using observer based sliding mode controller comprises of adaptive PI sliding surface. Observer was designed to estimate the inductor current value, such that no sensor was required as a feedback. Adaptive PI sliding surface was constructed from the difference between estimated inductor current and its reference value. The stability of proposed method was ensured by using Lyapunov direct method. To test the system performance, numerical simulation was conducted. The result indicated that the integral absolute error value of proposed method was 0.19, which was 7 times less than sliding mode with PI sliding surface. Consequently, the proposed method was able to estimate accurately the inductor value, track the reference voltage perfectly, and show its robustness against parameter variations.

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“…Furthermore, there has been considerable attention drawn to the generation of power from renewable energy resources. These systems demand advance control schemes to fully tap their potential of either extracting the maximum power by adjusting the load to match the voltage of the source, such as maximum power point tracking [7], [8], or to maintain a constant supply of power to a passive load [9], [10]. As a result, the study of a buck-boost converter, a type of DC-to-DC converter that regulates the voltage from a source to a load, has gained traction.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Model Predictive Control of DC-to-DC Buck-Boost Converter

2021

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The data-driven model predictive control (DDMPC) scheme is proposed to obtain fast convergence to a desired reference and to be utilised to mitigate the destabilising effects that a DC-to-DC buck-boost converter (BBC) with an active load experiences. The DDMPC strategy uses the observed state to derive an optimal control policy using a reinforcement learning (RL) algorithm. The employed Proximal Policy Optimisation (PPO) algorithm's performance is benchmarked against the PI controller. From the simulated results obtained using the MATLAB Simulink solver, the most robust methods for short settling time and stability were the hybrid methods. These methods take advantage of the short settling time provided by the PPO algorithm and the stability provided by the PI controller or the filtering mechanism over the transient time. The source code for this study is available on GitHub to support reproducible research in industrial electronics society.INDEX TERMS Adaptive control, data-driven model predictive control, DC-to-DC buck-boost converter, proximal policy optimisation, reinforcement learning.

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State-space Modelling and Digital Controller Design for DC-DC Converter

Abstract: Abstract

Cited by 14 publications

References 14 publications

An electrical power control system for explorer-class remotely operated underwater vehicle (ROV)

An electrical power control system for explorer-class remotely operated underwater vehicle (ROV)

Voltage Regulation of Boost Converter using Observer based Sliding Mode Controller

Data-Driven Model Predictive Control of DC-to-DC Buck-Boost Converter

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