The paper deals with conceiving and developing a new open architecture (OAH) system for real-time control on 5 degrees of freedom of a 4 Nano-Micro-Manipulators platform, using optical processing of information and image processing based on multiprocessor systems operating in a cooperation regime in order to achieve measurements, experiments, checks and tests in the field of nano-micro-manufacturing.
Despite the fact that today vehicles are easier to drive and more reliable, the drivers' carefulness is diverted by a large
number of factors (road conditions, traffic conditions, phone calls, navigation systems etc.). The automatic system of
controlling the windscreen wipers meets exactly one of the carelessness factors.
A rain sensor makes the activation of the system of windscreen wipers to become something that you turn on and forget
about it. This completely automated system activated by rain measures the rain intensity and also the necessity to turn on
the windscreen wipers and with what velocity.
Using an advanced optical system, analogue signal processing and a control algorithm, this technology offers more
safety and comfort on different weather conditions.
The sensor beams an infrared light on the windshield at an angle carefully chosen. If the windshield is dry, the beam is
reflected back in the sensor. If on the glass there are rain drops, they will reflect the light in different directions (the
wetter the windshield is, the least of the beam ray is reflected back in the sensor).
The main paper presents studies and research concerning the development of new open architectures for real-time control
of a 5 degrees of freedom platform with 4 nano-manipulators, based on multiprocessor systems operating in a
cooperation regime in order to achieve experiments in the 4 research domains: robotics, vibro-acustica, tribology, carbon
nano tubes (CNTs ). In order to obtain this performance a positioning method with high precision at high speed is
developed through reducing and compensating the induced dynamic vibrations by the system movement using the
inverse dynamics method. The system's performance will allow the introduction of new functions without significant
change to the hardware system. Through determining the optimal trajectory using a quadratic cost function for reducing
tracking errors results increased motion speed and micro or nanometric positioning precision.
Conference Committee Involvement (1)
Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2014 (OMN14)