Modern electrical machines training system is a revolutionary way of safely studying the characteristics of different motor types in a learning environment. This solution includes eight different types of machine, integrated power supply and control box and PC-based applications for advanced controller of the different machine types. Further to this, we provide four separate curriculum manuals for teaching electrical machines principles using manual control with external meters, using PC control and also control using MATLAB.
The system is designed to be used manually or via connection to a laptop or PC. When utilising the PC control option, the user should download the app from the
Resources page on this site. Above are a range of screenshots showcasing the ways the proprietary software can be used to control each
type of machine in the range.
Through experimentation, users can review the results of altering the voltage, load etc of each machine and the subsequent effect this has on each machine’s current, torque etc. over time.
At the heart of both manual and PC control of the machines is our control unit. The control unit houses all of the electronics including motor drivers, to control the modern electrical machines training system. By hovering over the controls on the image below, you can see the capabilities of our system, including the dials for manual control of voltage etc.
The aluminium cradle which houses our dynamometer features a rugged and safe sliding mechanism in to which each of the other six motors in the range fix into position.
The motor coupling meets the dynamometer in a protected housing and allows for safe study of each machine type at 24 volts.
When using our system in manual mode, it is likely you will require two (per set) HP1324 Fluke 115 True RMS Digital Multimeter and one HP8067 Tektronix Digital oscilloscope.
A suite of API calls are provided which allows the system to be used with both MATLAB and Labview software. This allows students to understand the characterisation of electromechanical systems using mathematical formulae and to compare simulated results with real world values.