Residual vibration suppression of a flexible heavy-duty multi-joint robotic manipulator using linear quadratic regulator and optimal input shaper

Controlling end-effector vibrations in flexible heavy-duty robotic manipulators is challenging, particularly during acceleration and deceleration phases, due to variations in system parameters such as natural frequency and damping ratio. This paper proposes a method for residual vibration suppression that combines an Optimal Input Shaper (OIS) with a Linear Quadratic Regulator (LQR). By incorporating the distribution patterns of system parameters alongside the system’s vibration characteristics, a novel performance index function is developed. Using optimization theory, the OIS is designed based on frequency and damping error performance indices. A dynamic model of the flexible heavy-duty robotic manipulator is established using the Lagrange equation method. The proposed combination of the LQR controller and OIS is evaluated against a combination of the LQR controller and a Traditional Input Shaper (TIS) in terms of response time and vibration suppression effectiveness through MATLAB/Simulink simulations and experimental validation. The results demonstrate that both the TIS- and OIS-based LQR controllers effectively suppress residual vibrations at the manipulator’s end-effector, with the OIS offering superior vibration suppression and faster response times.

Authors

Publication Details

Journal
Results in Engineering
Published
2025-10-31
DOI
https://doi.org/10.1016/j.rineng.2025.108010
Citations
2
Primary Topic
Dynamics and Control of Mechanical Systems
Type
article
Field-Weighted Citation Impact
2.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Residual vibration suppression of a flexible heavy-duty multi-joint robotic manipulator using linear quadratic regulator and optimal input shaper

Siyi Fan, Yang Zhao, Shengxue Wang, Jing Xiong et al.
2 citations
Results in Engineering
Dynamics and Control of Mechanical Systems
2.43
article

Residual vibration suppression of a flexible heavy-duty multi-joint robotic manipulator using linear quadratic regulator and optimal input shaper

Siyi Fan, Yang Zhao, Shengxue Wang, Jing Xiong, Xiangyu Ma
article en
2 citations

Abstract

Controlling end-effector vibrations in flexible heavy-duty robotic manipulators is challenging, particularly during acceleration and deceleration phases, due to variations in system parameters such as natural frequency and damping ratio. This paper proposes a method for residual vibration suppression that combines an Optimal Input Shaper (OIS) with a Linear Quadratic Regulator (LQR). By incorporating the distribution patterns of system parameters alongside the system’s vibration characteristics, a novel performance index function is developed. Using optimization theory, the OIS is designed based on frequency and damping error performance indices. A dynamic model of the flexible heavy-duty robotic manipulator is established using the Lagrange equation method. The proposed combination of the LQR controller and OIS is evaluated against a combination of the LQR controller and a Traditional Input Shaper (TIS) in terms of response time and vibration suppression effectiveness through MATLAB/Simulink simulations and experimental validation. The results demonstrate that both the TIS- and OIS-based LQR controllers effectively suppress residual vibrations at the manipulator’s end-effector, with the OIS offering superior vibration suppression and faster response times.

Results in EngineeringVol. 28
Openalex Percentile: Top 9%
Dynamics and Control of Mechanical Systems
2.43
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.

Residual vibration suppression of a flexible heavy-duty multi-joint robotic manipulator using linear quadratic regulator and optimal input shaper — Siyi Fan, Yang Zhao, et al. · Results in Engineering (2025) | TGRS Research Map | TGRS