A breakthrough in robotic technology is set to revolutionize vehicle surface repair, particularly in the construction sector, with the introduction of a small-range fine-spraying collaborative robot (SFSC). This innovative machine, designed with four degrees of freedom, promises to enhance precision and efficiency in applications where traditional control methods have struggled to keep up.
The research, led by J. Zhao from the National Key Lab of Aerospace Power System and Plasma Technology at the Air Force Engineering University in Xi’an, China, tackles a significant challenge faced by multi-joint robots: tracking control amid uncertainties such as modeling inaccuracies and random interferences. Zhao and his team propose a predefined-time radial basis function (RBF) neural network tracking control method that addresses these issues while also considering potential actuator faults.
“Our method ensures that the robot can maintain accuracy and reliability even in unpredictable environments,” Zhao explained. “This is crucial for tasks like vehicle surface repairs, where precision is paramount.”
The research employs the Euler–Lagrange equation to derive the dynamics equations of the robot, which is pivotal for developing a controller that can adapt to various uncertainties. By designing a new predefined-time sliding mode surface grounded in stability theory, the team created a nonsingular PRC controller tailored to the unique challenges of the two-joint manipulator model. The results are promising: the system exhibits a faster convergence rate, shorter convergence time, and robust performance, as demonstrated through simulations.
This advancement has significant commercial implications for the construction industry. As construction projects increasingly incorporate automation, the ability to deploy robots that can operate with high precision and reliability becomes essential. The SFSC not only streamlines the repair process but also reduces labor costs and minimizes the risk of human error, leading to improved project timelines and outcomes.
As Zhao notes, “The future of construction lies in our ability to integrate advanced robotics into everyday tasks. This technology represents a step forward in achieving that goal.”
The potential for this technology extends beyond vehicle repairs; it could pave the way for more sophisticated robotic applications across various sectors, enhancing productivity and safety in construction environments. As the industry evolves, the integration of such advanced control methods will likely become a standard practice, marking a new era of automation in construction.
This groundbreaking research is detailed in the article published in ‘Mechanical Sciences’, which translates to ‘Mekanika Ilimleri’ in English. For further insights into Zhao’s work, you can visit the National Key Lab of Aerospace Power System and Plasma Technology’s page at lead_author_affiliation.
