Skip to content
Open access

Simulation Cuk Converter with PID for Load Voltage Stability Auxiliary Inspection Train

Sep 2026 · Nucleus Journal · Vol 5, pp. 260-273 · 0 citations

Abstract

This study focuses on the design and implementation of a Cuk Converter integrated with a Proportional-Integral-Derivative (PID) controller to maintain voltage stability in auxiliary loads of an inspection train. The auxiliary system relies on battery power, whose output voltage tends to fluctuate depending on operating conditions, potentially affecting system reliability. To address this issue, a DC-DC converter with closed-loop control is proposed. The system was designed using a Cuk Converter topology, while the PID controller parameters were tuned using the Ziegler–Nichols method, resulting in Kp = 0.0015, Ki = 3.05, and Kd = 1.84×10⁻⁷. Simulation results show that the proposed system is capable of maintaining a stable output voltage of 24 V under various input voltage conditions (38.4 V, 48 V, and 55.2 V) and load variations (50 W to 250 W).The system achieves a rise time in the range of 0.0077–0.0099 s, overshoot between 0.08%–0.25%, settling time of 0.011–0.013 s, and steady-state error of 0%. Compared to the open-loop system, the PID-controlled system significantly improves voltage stability and dynamic response. These results indicate that the proposed method effectively enhances voltage regulation performance and system reliability in railway auxiliary applications.

Read PDF

Similar papers

Open access 2026

Single-Phase Sliding Mode Control Design for Terminal Voltage and Load Frequency Control of Power Systems

The increasing complexity of power systems places high demands on maintaining frequency stability and generator terminal voltage. Variations in operating conditions can degrade power quality while affecting operational reliability and safety. Therefore, coordinated control between load frequency control (LFC) and autom...

V. Thanh, D. Nguyen, D. T. Tran et al. · 0 citations
Open access Sep 2026

Design of PI and fuzzy-based sliding mode controller for speed control of BLDC motor using Landsman converter in electric vehicles

This research paper compares a conventional proportional-integral (PI) controller with a fuzzy-based sliding mode controller (FSMC) for speed control of a brushless DC (BLDC) motor powered by a Landsman DC-DC converter for electric vehicle (EV) applications. MATLAB/Simulink is used to model and simulate the proposed sy...

S. Sahana, K. Sasikala · 0 citations
Open access Sep 2026

Modeling and four-loop master-slave control of a six-phase interleaved buck converter for ultrafast EV charging

In this paper, modeling and control of a six-phase interleaved buck converter (IBC) are presented for fast charging of ultra-fast electric vehicle (EV) batteries. The primary difficulty faced is the need to operate at high power charging rates with stable and efficient performance, while minimizing output ripple and cu...

Alya H. al-Rifaie, M. Mustafa · 0 citations
Open access Sep 2026

An Isolated SEPIC DC-DC Converter for EV Charging Systems: Design, Simulation, and Feasibility Studies

This paper presents the design and simulation-based performance assessment of an isolated single-ended primary-inductor converter (SEPIC) for electric vehicle (EV) battery-charging applications. The proposed topology allows adjustable step-up/step-down voltage conversion with galvanic isolation to ensure excellent oper...

S. Gohil, Hardik A. Shah · 0 citations
Open access Sep 2026

Performance evaluation of a GA-tuned PID controller for a buck-boost converter based on integral error metrics

DC-DC buck-boost converters are widely used in photovoltaic (PV) systems to maintain a regulated output voltage under varying source and load conditions. Although genetic algorithms (GA) based proportional-integral-derivative (PID) controllers are commonly used, the influence of different integral error performance ind...

M. P., Subramanya Bhat · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.