June 04, 2019 | Volume 15 Issue 21 |
Manufacturing Center
Product Spotlight
Modern Applications News
Metalworking Ideas For
Today's Job Shops
Tooling and Production
Strategies for large
metalworking plants
Matt Sherman, eMobility Sales and Application Engineer at KEB America, runs through different options to drive an AC motor, including one called "Sensorless Closed Loop" that does not require additional hardware such as encoder, resolver, or cables on the motor.
Read this informative KEB America blog.
The precision and reliability offered by modern rotary encoders are essential in many product categories. These include robotics, machine tools, printing presses, motion control systems, medical equipment, aerospace, gaming and entertainment, and automotive. Learn all about magnetic rotary encoders -- and important developments in the technology's future.
Read the full Avnet article.
Tolomatic has introduced five new products in its RSX line of high-force actuators to meet a wider range of industrial applications. These five sizes expand the RSX's capabilities to include forces up to 66,000 lbf (294 kN). RSX actuators, which feature high-precision planetary roller or ball screws for longer life in harsh environments, enable the easy replacement of traditional hydraulics to eliminate leaks and improve system performance.
Learn more.
Piezoelectric motion components are highly valued for their fast response times, capable of dynamic movements at frequencies reaching several kHz, and delivering motion resolution down to the sub-nanometer level. Learn why amplified piezo actuators have the edge over traditional piezo stack actuators.
Read the full article.
Engineers from Performance Motion Devices take a comprehensive look at how to control two-phase stepper motors, beginning with the basics (operations, strengths and weaknesses) and moving on to traditional and updated advanced techniques for control including closed loop. A very thorough presentation.
Read this informative Performance Motion Devices article.
Automation-Direct has added the new SQ series table lifting systems from Ergoswiss. These lifting systems use electrically driven columns that allow the operator to reposition the height of a worktable, conveyor, etc. to meet specific requirements. In doing so, the operator can perform their tasks in a more comfortable working posture, helping to reduce work-related injuries. These systems are all electric (no hydraulic mess or manual hand cranks), and each lifting column features a housed motor and screw drive to perform the needed height adjustments.
Learn more.
The GVCM-032-025-02M Linear Voice Coil Servo Motor is the first of a new series of non-commutated, brushless linear servo motors from Moticont. This clean and quiet unit has a 12.7-mm stroke with built-in shaft and bearing, a continuous high-force-to-size ratio of 9.3 N (2.1 lb), and 29.3 N (6.6 lb) of peak force at a 10% duty cycle. Features include: high reliability, high speed, zero cogging, high acceleration/deceleration, and, when used in a servo loop, very high accuracy and repeatability. An ideal choice for: haptic feedback, medical devices, laser machining and drilling, work holding and clamping, scanners, optical focusing, testing, sorting, and assembly.
Learn more.
With the help of a motion controller and a stepper driver, all stepper motor linear actuators can be programmed to position a load to a precise location. However, standard configurations do not provide a feedback mechanism that tells the operator whether the move is completed or not. Adding an encoder can be an effective and simple solution to get real-time motion feedback about your application.
Read this informative Thomson article.
Overhead conveyor drives from NORD DRIVE-SYSTEMS are engineered with long-lasting performance and durability in mind. They feature high-quality components, heavy-duty construction, and an output mounting flange and shaft for easy drop-in replacement of industry-standard footprints. They are an ideal solution for meat and poultry processing, automotive assembly, and other manufacturing systems where utilization of vertical space is required. Lots of options and many more features.
Learn more.
maxon, a leader in DC motor and drive solutions, has unveiled its latest innovation: the ESCON 2 controller. This advanced speed and current controller, designed for micro motors, significantly enhances control precision. The ESCON 2, suitable for brushed and brushless DC motors up to 1,800 W continuous duty, is engineered for seamless OEM integration into customer systems. Enhanced control features include field-oriented control (FOC), acceleration, and velocity feed-forward capabilities. Supports 4-quadrant operation. Lots more features. Available from Electromate.
Learn more and get all the specs.
The next evolution of the award-winning Aircore EC motor from Infinitum is a high-efficiency system designed to power commercial and industrial applications such as HVAC fans, pumps, and data centers with less energy consumption, reduced emissions, and reduced waste. It features an integrated variable frequency drive and delivers upward of 93% system efficiency, as well as class-leading power and torque density in a low-footprint package that is 20% lighter than the previous version. Four sizes available.
Learn more.
Universal Robots, the pioneer of collaborative robotics, is set to unveil a new AI-powered machine tending solution at IMTS, enabling faster batch changeovers by eliminating the need for fixtures. Additionally, the company will showcase advanced cobot applications for welding, finishing, part feeding, and laser marking. Lots of useful tech here.
Read the full article.
The number of active satellites in space keeps growing, with more than 10,000 active satellites orbiting our planet. Commercial and academic institutions developing these satellites continuously work on improved test systems and methodologies to fully validate their hardware before launch. Learn why PI's 3-DOF spherical air bearing systems are an important part of this process.
Read the full article.
Electric torque motors drive loads at low speed without additional mechanical transmission systems like gearboxes or speed reducers. They are known for smooth operation with less vibration and backlash. Learn the key benefits that make them a solid choice for many applications.
View this informative Parker blog.
NORD DRIVE-SYSTEMS gear motors now come with a QR code sticker on the unit enabling users to access information almost instantly such as product specs, documentation, and service requests via mobile device. The codes can be scanned using a photo app or QR code app and will bring the user to NORD's digital service webpage, which includes a Documentation Center, Spare Parts Shop, customer portal, and more. QR code stickers are now in use at NORD USA's four facilities in Waunakee, WI; Corona, CA; Charlotte, NC; and McKinney, TX.
Learn more.
Landing multi-rotor drones smoothly is difficult. Complex turbulence is created by the airflow from each rotor bouncing off the ground as the ground grows ever closer during a descent. This turbulence is not well understood nor is it easy to compensate for, particularly for autonomous drones. That is why takeoff and landing are often the two trickiest parts of a drone flight. Drones typically wobble and inch slowly toward a landing until power is finally cut, and they drop the remaining distance to the ground.
The Neural Lander system is tested in the Aerodrome, a three-story drone arena at Caltech's Center for Autonomous Systems and Technologies. [Credit: Caltech]
At Caltech's Center for Autonomous Systems and Technologies (CAST), artificial intelligence experts have teamed up with control experts to develop a system that uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly, while gobbling up less power. The system they have created, dubbed the "Neural Lander," is a learning-based controller that tracks the position and speed of the drone, and modifies its landing trajectory and rotor speed accordingly to achieve the smoothest possible landing.
"This project has the potential to help drones fly more smoothly and safely, especially in the presence of unpredictable wind gusts, and eat up less battery power as drones can land more quickly," says Soon-Jo Chung, Bren Professor of Aerospace in the Division of Engineering and Applied Science (EAS) and research scientist at JPL, which Caltech manages for NASA. The project is a collaboration between Chung and Caltech artificial intelligence (AI) experts Anima Anandkumar, Bren Professor of Computing and Mathematical Sciences, and Yisong Yue, assistant professor of computing and mathematical sciences.
A paper describing the Neural Lander was presented at the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Robotics and Automation on May 22, 2019. Co-lead authors of the paper are Caltech graduate students Guanya Shi, whose PhD research is jointly supervised by Chung and Yue, as well as Xichen Shi and Michael O'Connell, who are the PhD students in Chung's Aerospace Robotics and Control Group.
Deep neural networks (DNNs) are AI systems that are inspired by biological systems like the brain. The "deep" part of the name refers to the fact that data inputs are churned through multiple layers, each of which processes incoming information in a different way to tease out increasingly complex details. DNNs are capable of automatic learning, which makes them ideally suited for repetitive tasks.
To make sure that the drone flies smoothly under the guidance of the DNN, the team employed a technique known as spectral normalization, which smooths out the neural net's outputs so that it doesn't make wildly varying predictions as inputs/conditions shift. Improvements in landing were measured by examining deviation from an idealized trajectory in 3D space. Three types of tests were conducted: a straight vertical landing, a descending arc landing, and a flight in which the drone skims across a broken surface (such as over the edge of a table) where the effect of turbulence from the ground would vary sharply.
The new system decreases vertical error by 100 percent, allowing for controlled landings, and reduces lateral drift by up to 90 percent. In their experiments, the new system achieves actual landing rather than getting stuck about 10 to 15 cm above the ground, as unmodified conventional flight controllers often do. Further, during the skimming test, the Neural Lander produced a much a smoother transition as the drone transitioned from skimming across the table to flying in the free space beyond the edge.
VIDEO: Engineers and computer scientists at Caltech's Center for Autonomous Systems and Technologies (CAST) use a deep neural network to help autonomous drones compensate for complex turbulence to skim and land more efficiently.
"With less error, the Neural Lander is capable of a speedier, smoother landing and of gliding smoothly over the ground surface," Yue says. The new system was tested at CAST's three-story-tall aerodrome, which can simulate a nearly limitless variety of outdoor wind conditions. Opened in 2018, CAST is a 10,000-sq-ft facility where researchers from EAS, JPL, and Caltech's Division of Geological and Planetary Sciences are uniting to create the next generation of autonomous systems, while advancing the fields of drone research, autonomous exploration, and bioinspired systems.
"This interdisciplinary effort brings experts from machine learning and control systems. We have barely started to explore the rich connections between the two areas," Anandkumar says.
Besides its obvious commercial applications (Chung and his colleagues have filed a patent on the new system), the new technology could prove crucial to projects currently under development at CAST, including an autonomous medical transport that could land in difficult-to-reach locations (such as a gridlocked traffic). "The importance of being able to land swiftly and smoothly when transporting an injured individual cannot be overstated," says Morteza Gharib, Hans W. Liepmann Professor of Aeronautics and Bioinspired Engineering, director of CAST, and one of the lead researchers of the air ambulance project.
Source: California Institute of Technology (Caltech)
Published June 2019