Partnering with several academic institutions in the Torino cluster of Italy and a few reputed Tech power-houses in India, EMA drives innovation in engineering among the promising technocrats of tomorrow. Through our partnerships we endeavour to harness and accelerate development of the technologies of tomorrow in today’s market.
The fresh, dynamic and inventive insights from the budding talents groomed by veteran professionals of EMA infuse the much-needed edge to the industry. Joining hands with the aspiring engineers of tomorrow and the industry itself, EMA strives to foster innovations to procreate tangible results and thus making business sense to all.
BruCo DB 400 requires an external power source of 8 ÷ 30 V. The motor target speed is set up by different input channels: RS 232, analog voltage level, PWM signal, or by using the keys on the board. BruCo DB 400 integrates a communication protocol of automotive derivation, which allows the remote control and the supervision through the RS-232 comunication interface. Moreover, it combines many diagnosis functions which protect both the board and the motor from damages caused by overheating, blocked-rotor, overvoltage. Reactivation procedures are highly programmable. On the board there are LED which notify internal condition of relevance: missing command, internal errors, operation modes, electric damage.
BruCo Suite is a software with all the functions for BruCo family boards. In a production contest, it provides a user-friendly designed interface for the motor remote control. In a developing contest, it guides the engineer in the optimization of control algorithms and parameters in order to apply the same algorithm to different motors. With the aim of facilitating this phase, BruCo Suite provides many functionalities for the direct access, visualization and analysis of data.
• Selection of the control algorithm
• Methods for the control algorithm bypass
• Visualization of all standards on the chart
• Calibration of the command algorithm
• Registration of monitoring sessions for the oﬄine usage and analysis
• Offline functions of execution through a recorded monitoring session
• Accurate documentation of the project
• Real-time monitoring and calibration
• Ring control parameters
• Maximum front slope (climb up and down) during transitions
• Rotor speed
• Absorbed current
• Errors/abnormal situations
Today – thanks to the elaboration techniques progress on biomedical signals – we assist to a large use of EEG – electroencephalography – applied to the diagnosis of cerebral diseases, and especially in the BCI – Brain Computer Interface – field.
Recent researches have investigated in depth on how the brain works, being more and more aware on disabled individual’s needs. For these reasons, further to the advent of low-cost performing IT devices, BCI research has focused on the communication methods to help those subjects with neuromuscular disabilities.
The main aspect of a BCI system implementation is the use of a reliable equipment which could guarantee a correct measurement of the electrical brain activity. This activity is in real-time acquired and elaborated in order to establish a connection between the EEG trace and all the stimulation types – visual, auditive, tactile – to which the subject goes through. The main role of EMA in developing BCI technologies focuses on the analysis of EEG trace data with the aim of understanding how a human may control a machine only using his own thought.
Since the fundamental importance – in this type of research – of the signal elaboration, a list of algorithms have been studied in order to extract the useful information hidden in the EEG trace. The processing has been achieved through some methods of filtrating software, feature-extraction and classification which allowed us to obtain a control signal which could drive a robotic arm.
Since the versatility of these methods, they can all be expanded to different fields such as the biomedical industry, or the automotive one, to domotics as well, video-games and more generally virtual realities.
The demand of hybrid vehicles has increased through the years, and this is due to several reasons such as the use of non-carbon-based energy sources and the need of environmental pollution reduction.
In this sense, our offer is not only restricted to the personal transportation market but also to local commercial transportation, in which vehicles travel 10 hours a day on urban ways with a medium speed of 15 km/h.
Pié Verde project includes the implementation of a dc-dc converter developed in order to manage the power transfer between a 12V lead battery and a 180/400V Li-ion traction battery of a hybrid or totally electric commercial vehicle.
The device has been designed with the aim of managing in the best way the energetic flow between two power sections – a thermic traction one and an electric one – according to the BODY control unit, by optimizing the performance.
This system is composed by several independent power modules, which are controlled by a central logic unit which – in addition to monitoring the status and super visioning electric physical quantities of each modules – assigns the necessary commands according to the temporary drive profile.