Work

Balanced Walking Force Control for Walking Excavators Based on Dual Strong Tracking Kalman Filter

Year: 2025

Type: article

Abstract: The operation of walking excavators on rugged terrain often leads to leg lift-off, which can result in uneven force distribution, accelerated structural wear, and even systemic instability. To address these issues, this paper proposes a coordinated control framework comprising three integral components: a Dual Strong Tracking Kalman Filter (DSTKF) for estimating unmeasurable system states—such as joint velocities, external forces, and hydraulic disturbances; a fuzzy adaptive virtual model-based force planner that dynamically adjusts the desired leg forces in real time to minimize support force variations; and a DSTKF-based force controller that precisely regulates the output force of each leg. Simulations and physical experiments demonstrate that the proposed approach effectively achieves autonomous balance of ground contact forces and optimizes force distribution among the legs. This study provides a lightweight, fully closed-loop solution for state estimation and walking force balance in walking excavators equipped with standard proportional valves.

Source: Applied Sciences

DOI: 10.3390/app152312678

Authors: Zhen Liu, Wenjie Yuan, Daqing Zhang, Yi Zhang, Dongliang Chen

Institutions: Central South University, Xiangtan University

Language: English

Topic: Robotic Locomotion and Control

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896