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Custom stators, rotors, and motor assemblies for low- to mid-volume applications

Arnold's Ramco Electric Motors is your single partner for custom motor components and complete assemblies. Ramco builds solutions for AC induction, switched reluctance, and brushless DC designs up to 200+ HP. Capabilities include custom stators, rotor-shaft assemblies, aluminum and copper casting, induction brazing, permanent magnet assembly, and precision rotor balancing.
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Rotate robot arms more than 600 degrees

The unsupported twisterchain^® from igus eliminates the need for additional trough systems or guide plates in robotic applications, especially in palletizing. This results in a clean, efficient, and space-saving system architecture that delivers both technical and economic advantages. Thanks to its specialized design, it supports rotations of over 600 degrees.
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Match the torque of rotary solenoids to your application

Magnetic Sensor Systems has launched the Made in USA R-10-200-CWM Series of clockwise rotary solenoids. Measuring 2.00 in. in diameter and 1.04 in. long with 18 different AWG options and a serrated front shaft end, these compact units optimize torque, current, and duty cycle. When power is removed, an integral return spring automatically returns the shaft to its home position. The shaft is supported by two high-precision radial ball bearings, providing smooth operation with no axial play. Applications include medical, security, and office equipment.
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Planetary servo gear unit: New economy series

SEW-EURODRIVE has expanded its PxG planetary servo gear unit portfolio with the new PxG economy series, introducing the P1.G, P2.G, and P3.G performance classes. Designed for standard industrial automation applications like packaging and material handling, these cost-effective units feature peak torque ratings from 11 to 500 Nm and over 20,000 hours of service life, helping machine builders eliminate unnecessary over-specification.
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Compact hexapod 6-DOF alignment system has overload protection

PI's compact H-811.I2HS hexapod delivers precise 6-DOF motion with patented overload protection, simplifying setup and operation in OEM applications. This built-in protection safeguards precision mechanics during installation and integration against accidental forces or improper handling. Furthermore, the hexapod mounts in any orientation, granting system designers exceptional flexibility for optical, photonics, microscopy, metrology, and automation systems.
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What is STUDROLLER technology? Cross Roller Guides

NB SLIDE WAY cross roller guides use precision rollers to provide stable, non-recirculating linear motions in precision stages, inspection equipment, semiconductor manufacturing, and more. At the heart of all NB cross roller bearings is the STUDROLLER mechanism, which eliminates the cage-creep phenomenon that, over time, can create deviances in cross roller retainer performance. NB cross roller guides equipped with this system are more accurate and better performing than any other comparable products on the market today. High acceleration and faster cycle times are possible in any orientation.
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Ruggedized Nano servo drives for harsh environs

Copley Controls has released its R47 and R48 NanoPlus Micro Module servo drives. Designed for extreme environments and space-constrained applications, these rugged platforms operate from 9 to 180 VDC, delivering peak power up to 6.3 kW. Offering CANopen (R47) or EtherCAT (R48) communications, both feature STO SIL 3 safety and broad encoder support. Well suited for COTS military, nautical, aviation, oil refining, and vehicle-based systems.
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Simplify AC motor control with the new OMRON M1 Inverter

The OMRON M1 Inverter simplifies machine design by unifying motion, safety, networking, and motor control into a single platform. Available in M1-STD, M1-ECT, and M1-EMP models, it controls IM and PM motors with high precision. Featuring SIL3 PLe STO safety and native EtherCAT, EtherNet/IP, or RS-485 communications, the M1 accelerates development within the Sysmac environment.
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Flexible planetary gearheads: Quiet, extremely robust

FAULHABER GPT gearheads for miniature and micro motors deliver high power density, exceptional flexibility, and excellent cost efficiency. Designed for seamless integration with diverse motors and encoders, these compact planetary drives feature hardened stainless steel components that reliably withstand extreme torques and abrupt load changes. Offered in standard, low-noise, and high-torque variants, they ensure precise, durable performance across wide operating temperature ranges.
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What is a low-waving linear motion guide?

If you are having a problem with your linear guides not always staying perfectly straight during use, it may be due to a phenomenon called waving -- a problem that is particularly critical in high-precision markets such as semiconductor and LCD equipment-related applications or machine tools. Thankfully, THK has an answer.
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NORD serves up sweet energy and cost savings for industrial bakeries

NORD DRIVE-SYSTEMS offers robust, highly configurable drive solutions designed to optimize efficiency, ensure hygiene, and reduce the TCO for automated bakery systems. From industrial-scale mixing and portioning to baking, cooling, and packaging, NORD's modular product portfolio delivers precise, reliable performance across every stage of production.
Read the full article. You may learn something even if you are not in the baking industry.

Key considerations for battery-powered motors

Battery-powered motor applications require careful design considerations to pair motor performance and power consumption profiles in concert with the correct battery type. This Power Electric article covers power requirements, performance considerations, and battery choices to assist you in selecting an efficient motor and a battery with the appropriate capacity. Good technical info.
Read the Power Electric technical article.

Driving next-gen pump and fan applications: Sinamics G210X

The Sinamics G210X is a new frequency converter for advanced pump, fan, and compressor applications, combining easy engineering with robust design. Integrated functions, seamless TIA Portal integration, and a web server reduce PLC effort to speed up commissioning, operation, and diagnostics. IP55 protection, 3C3 coating, and S2 system redundancy ensure reliable operation in demanding environments.
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New Exlar food-grade actuator

Curtiss-Wright's Actuation Division has expanded its Exlar line with hygienic electric actuators using FDA-approved materials and finishes. Designed for food, beverage, packaging, and pharmaceutical automation, the new GTF unit enables economical USDA, 3-A, BISSC, and EHEDG certification. Its IP69K washdown option, inverted roller screw, and compact servo-driven design deliver reliable, high-performance motion for hygienic machinery.
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New Texas conveyor system is 42 miles long!

SEW-EURODRIVE is helping power one of the most ambitious bulk material handling projects in North America through its contribution to the Dune Express conveyor system, a record-setting 42-mile single-flight conveyor across the Permian Basin.
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Landing multi-rotor drones safely and accurately gets big boost from AI and neural network system

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

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