DC Motor Speed Control For Goods Lifts Using Four Types Of PI Controller Tuning Methods With Sepic Converter As Supply

Advances in automation technology and the growing demand for vertical transportation in industrial and high-rise applications have increased the use of DC motors as main actuators in freight elevators. Accurate and stable speed control of DC motors is crucial for efficiency and safety. Among various strategies, the Proportional Integral (PI) Controller is widely applied due to its simplicity and effectiveness. However, the performance of a PI Controller depends strongly on proper tuning of Kp and Ki parameters. This study evaluates and compares four PI tuning methods—Ziegler-Nichols, Chien Regulator, Chien Servo, and an analytical method—for DC motor speed control in a goods lift system using a SEPIC Converter. Performance was assessed through overshoot, rise time, settling time, steady-state error, steady-state speed, and disturbance recovery. Results indicate that the analytical method offers the most balanced performance, with rise time of 0.47 s, settling time of 1.27 s, zero overshoot, and disturbance recovery around 1.7 s. It also yields a small steady-state error (±1 rpm) and maintains speed at 22-23 rpm according to the setpoint. By contrast, Ziegler-Nichols provides the fastest rise time (0.45 s) but with longer settling time and high overshoot (~13.6%). Overall, the analytical method ensures better stability, accuracy, and disturbance resistance for the system.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-11
DOI
https://doi.org/10.1051/e3sconf/202567410001/pdf
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DC Motor Speed Control For Goods Lifts Using Four Types Of PI Controller Tuning Methods With Sepic Converter As Supply

Springer Link (Chiba Institute of Technology)
Elevator Systems and Control
article

DC Motor Speed Control For Goods Lifts Using Four Types Of PI Controller Tuning Methods With Sepic Converter As Supply

article en

Abstract

Advances in automation technology and the growing demand for vertical transportation in industrial and high-rise applications have increased the use of DC motors as main actuators in freight elevators. Accurate and stable speed control of DC motors is crucial for efficiency and safety. Among various strategies, the Proportional Integral (PI) Controller is widely applied due to its simplicity and effectiveness. However, the performance of a PI Controller depends strongly on proper tuning of Kp and Ki parameters. This study evaluates and compares four PI tuning methods—Ziegler-Nichols, Chien Regulator, Chien Servo, and an analytical method—for DC motor speed control in a goods lift system using a SEPIC Converter. Performance was assessed through overshoot, rise time, settling time, steady-state error, steady-state speed, and disturbance recovery. Results indicate that the analytical method offers the most balanced performance, with rise time of 0.47 s, settling time of 1.27 s, zero overshoot, and disturbance recovery around 1.7 s. It also yields a small steady-state error (±1 rpm) and maintains speed at 22-23 rpm according to the setpoint. By contrast, Ziegler-Nichols provides the fastest rise time (0.45 s) but with longer settling time and high overshoot (~13.6%). Overall, the analytical method ensures better stability, accuracy, and disturbance resistance for the system.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 39%
Elevator Systems and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.