Below you will find ten different options for controlling linear actuators. This list is intended to give you an overview of what's possible for linear actuator control. It's not exhaustive, there are other options, but these are the ones that will work for most people.
While alignment may be within acceptable tolerances during installation, deflection due to loads and thermal expansion or contraction may lead to misalignment. The use of an appropriate flexible coupler can compensate for such minor variations in alignment.
When digital information transforms into precise physical motion, previously infeasible use cases suddenly become possible. This improvement delivered Industry 4.0 to applications such as advanced robotics, Internet of Things (IoT) and Industrial Internet of Things (IIoT),.
Integration is about adding value for customers by designing products that include multiple parts of the solution into a single instrument. For motion control hardware, this can mean combining the mechanics along with a motor, encoder, limit sensor, driver, and controller.
Brain Corp, an AI company creating transformative core technology in the robotics industry, today announced it has raised $36 million in Series D funding to help meet the growing demand for autonomous mobile robots (AMRs) now on the front lines of the COVID-19 health crisis.
This article will look at the top-end solution in terms of accuracy and repeatability, and the applications that benefit from a motion control solution that has achieved quantum-sized improvements in the precision achievable across numerous applications.
When faced with a multi-axis alignment and positioning application, motion engineers typically assemble a system from a stack of individual linear and rotary stages. This approach works well for applications when only a few degrees of freedom are involved (e.g. XYZ).
The customer required precision rotary axis control in the lowest profile form factor for multiple sequential robot arm joints. Key additional requirements included minimal movement at start-up to report absolute position...
A motion control system is any system that entails the use of moving parts in a coordinated way. Most of the technology used in mechanical engineering is a result of the development and implementation of motion control systems.
Designers have to choose from a wide variety of microprocessors, programmable logic technology, power semiconductors, motors, amplifiers, mechanical elements, sensors, and application software. Naturally, the choice goes well beyond merely selecting high-end components.
The Wing can be moved about on a work surface like with a normal mouse, but additionally, the upper body can be pitched, rolled and moved vertically relative to the lower body. The yaw bar, positioned between the upper and lower bodies can also be twisted.
Efficient motion control technology replaces the heavy, power-hungry traditional mechanical and hydraulic components with accurate, efficient electro-mechanical control systems. Within the traction, steering and braking systems of these energy-efficient cars are brushless torque motors.
You can save yourself surprises by planning robot controller mounting and wireway routing ahead with your selected robot integrators project team.
Besides being expensive and proprietary, migrating to newer products is challenging when hardware components are involved.
Action, gesture, motion, and robots can be kept under control through a wearable, small but powerful electronic board.
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The RTS Hypervisor enables work-load consolidation of both real-time and non-real-time operating systems on a single x86 based platform. Unlike traditional virtualization, we partition and allocate the hardware for each work-load and provide a "privileged" mode for real-time operating systems that guarantee zero impact to determinism while adding zero jitter. This is instrumental for work-loads such as robotic controllers managing motion control where minimum jitter is required. And, our hypervisor is designed for easy setup and configuration for any work-load consolidation scenario. This equates to deterministic real-time applications taking advantage of all the benefits of virtualization immediately, without costly implementation projects.