This training series details configuring the TI DLP® DLPC900 digital controller chipsets for 3D machine vision applications, including PCB automated optical inspection (AOI). This digital controller is use by the DLP6500 1080p digital micromirror controller (DMD) and the DLP9000 WQXGA DMD. This training series includes:
Analog outputs in industrial automation come in a variety of configurations that each must deliver strong precision while passing stringent EMI /EMC certification tests. This session will address these systems and their challenges by explaining each configuration, and explaining example designs
This training helps to understand relevant parameter of a 4-20mA analog input module, such as surge protection, handling miss-wiring, broken wire detection, isolation or protection of the module against over-current at power and signal inputs.
Learn about solutions that pair the flexibility of digital power control with C2000 MCUs and in-line current sensing with the high-power efficiency of GaN.
Learn about sub-systems and trends relevant for factory automation design
This factory automation series discusses key sub-system blocks for control systems, communication and field devices. It covers how Industry 4.0 drives changes in industrial communications, how safety requirements impact control systems (PLC, DCS, PAC, …) and field devices as well as sensing for predictive maintenance. On top of this, it also covers the necessary foundations for any engineer starting a design career in this field:
CNC routers use step and direction signals to control each stepper motors. In addition motor information (position, temperature, fault) gets transferred from stepper motors back to control unit. This must be done in star topology and a mix of proprietary interfaces. Simple open real-time Ethernet (SORTE) enables 4 µs cycle time on industrial Ethernet and replaces step/direction signal and motor feedback info into a single Ethernet cable that is also wired in line topology.
New to mm-wave sensing? This series of five short videos provides a concise yet in-depth introduction to sensing using FMCW radars.
The training starts with an overview of an analog input module. Typical components and their voltage supply levels are shown. Next, possible power topologies like push-pull, flyback or flybuck with their advantages and disadvantages are discussed.
In 2019 more than 2.5 million industrial robots will be in operation worldwide, according to a forecast of the international federation of robotics. An industrial robot typically consists out of a control cabinet, a robot arm and a Human Machine Interface (HMI) Panel. To guarantee safe operation of the complete robot system, the different robot components and its interfaces need to be isolated to each other.
A common method to measure process parameters in plants is based on sound waves. This method is used in: level, flow and displacement field transmitters. It works based on measuring the time of flight (ToF) between when the pulse, generated by a piezo electric crystal, is sent and received back by the piezo.
The mmWave training curriculum provides foundational content and hands on examples for you to learn the fundamentals of FMCW technology and mmWave sensors, and start development quickly. TI's portfolio of mmWave sensors features the AWR automotive radar sensor family and the IWR industrial mmWave sensor family, which are intended to be used for detecting range, velocity and angle of objects. Learn more about the silicon, tools, software and some of the applications for both mmWave families in the mmWave training series.
The training provides a very comprehensive introduction of the commonly-used interfaces including RS-485, RS-422, ProfiBus, RS-232, IO-Link, CAN and LIN. These interfaces are used in the application of Factory Automation and some other industrial applications. For the engineer who needs to deal with interface system design, this is a very useful training.
- In the first module, The architecture of a multi-channel data acquisition system and how a multiplexer can be used to facilitate the implementation. Possible causes of fault condition in a typical data acquisition system are discussed, and how the fault condition can severely impact the normal operation of the system is explained.
- In the second module, protection schemes that can be implemented to protect the system in fault condition using discrete components are discussed.