ELECTRONICS: Carling Technologies’ N-Series Addressable Switch offers the look and feel of a traditional electromechanical control coupled with a built-in PCB to provide customers with a flexible, cost-effective alternative to a CAN/LIN-based switch. The N-Series produces up to 144 individual switch IDs by using a resistive ladder circuit. Different switch IDs are achieved by changing the resistor values tied to individual loads. The individual loads can then be assigned to the specific functions the switch is controlling. Each switch is connected to an ECU and the application software is written to recognize the switch IDs to determine which load is being controlled, as well as the selected actuator position. The end result means that wiring harnesses are more simplified and specific loads can now be controlled from any location within a vehicle cab. Switch locations can now be rearranged without the need for a costly and time-consuming harness redesign, giving designers the ultimate in design flexibility. The N-Series has a contact rating of 4VA at 28V dc (max); dielectric strength of 1,250V RMS between pole to pole; and 3,750V RMS between live parts and accessible surfaces. Insulation resistance is 50 Megaohms and contact bounce is 20 msec max. It has an operating temperature of -40 to 85C.
Surveillance, reconnaissance, and search and rescue in military and first responder situations are popular applications for aerial robots. Yet not all the robots are considered unmanned aerial vehicles.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.