Swedish researchers say they can optimize the movement of robotic arms by using an algorithm that reduces the energy consumption of industrial robots by up to 40%. The algorithm reduces the "acceleration and deceleration" of the robot arm and shortens its stagnation time, because even if the robot does not move, it will continue to consume energy.
Optimization does not change the robot's operating path, only its speed and sequence of operations. Optimizing robots can save a considerable amount of potential because robots can replace about half of the productivity in robotic intensive manufacturing applications, such as body operations in the automotive industry.
“We just let the robot move slower, rather than waiting for other robots and machines to catch up before executing the next sequence,†explains Professor Bengt Lennartson of Chalmers University of Technology, who co-founded the study with GE. .
“Optimization also determines the order in which the various operations are performed to minimize energy consumption – but does not reduce overall execution time,†he added. “As a result, we can access existing robot modules and perform rapid optimizations without affecting production or current cycles.â€
To ensure safety, the actions of different robots operating in the same area need to be coordinated. Therefore, the optimization tool initially identifies where the robot may collide, as well as the location of each collision zone and the entrance and exit of each robot path.
Tests at the Robotics and Automation Laboratory at Chalmers University of Technology show that a single robot can save up to 15-35% of energy, while for multi-robot systems, it can save up to 40%.
Research team at Chalmers University of Technology (from left): Dr. Christopher Bentson,
Emma Weidalsen and Professor Bent Lennason.
“The first test results showed significant improvements – such as 15-40% energy savings – but the results are still preliminary,†said Chalmers Fellow, Christopher, who helped implement the new optimization strategy. Dr. Bentson said. “In order to estimate the actual energy savings, further testing is required.â€
The optimization program first records the motion of each robot in a running cycle and all the collision zones. This information is processed by an algorithm to generate new control commands for the robot.
“Our goal is to standardize this optimization and embed this optimization technology into the robot from the start,†Bentsen said. “Every time you adjust the sequence of operations, a new optimization will be done by default. But we all know that it takes several years of engineering work to mass produce a product that is still under development.
The robot optimization work being developed at Chalmers University of Technology is part of the Areus EU project, which is developing hardware technology to optimize two-way energy flow and improve the use of renewable energy in the plant. The project also developed a new power supply system that will reduce the energy consumed by the robotic automation system. The Areus Alliance has ten members in six EU countries, including Daimler, KUKA Robot and Danfoss.
(Text / Tina translation)
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