Variable frequency drive has inbuilt voltage, current & temperature sensors. These sensors can provide important information of drive operating condition and health prognostics. The intelligent algorithms are required to extract useful information from feedback signals provided by these sensors. The information is received by the drive in the form of (i) Raw signals (ii) Estimated signals (iii) Controller signals or (iv) External signals. Raw signals are instantaneous signals received from inbuilt sensors with highest bandwidth. Whereas estimated signals are using algorithm to estimate additional signals/variable from raw signals for example instantaneous active and reactive power of drive can be derived from voltage and current sensors output. The drive uses open loop or close loop controller for accurate control of speed and position of the application. These controller output reference for example voltages and currents carries useful information about the system working condition. And drive also have external sensors which are connected to monitor vibration, application temperature, humidity, flow and pressure etc. These four categories of signals are used to estimate and predict working point, losses, output, input power. These estimations can be used to monitor and predict health of entire drive system (drive + grid + motor + load). It also requires develop intelligent algorithm to predict performance and efficiency of drive by employing available information of inbuilt and external sensors.
The project exploits available electrical signals i.e. motor current, motor voltage, to estimation accurate, high precision and high bandwidth signals for example airgap flux, input real and reactive power to motor, torque and speed and rotational speed.
The project will use various available electrical signals of drive with the existing drive sensors to predict condition of the drive system. The available signals will be used to estimate efficiency and predict performance of drive.
The objective of this project is to develop suitable algorithm to estimate useful signals of drive based on available inbuilt sensors for example voltage, current and temperature sensors. The estimation of drive signals includes real and reactive power, flux, torque, rotor speed, grid unbalance grid power quality etc. Develop an algorithm to estimate high precision signals of VVCp/Vector control IM drive system in Matlab and implement on real time system such as dSPACE.
This project is recommended for students in the 9th or 10th semester with interest in electrical machines and their control. He/She is interested in the advanced observers/estimation algorithm for estimating various signals of drive. The student must have interest in digital signal processing techniques applied to power electronics and drive application. In addition, a basic knowledge of machines/drive, and knowledge of Matlab/Simulink background and laboratory aptitudes are required.
I samarbejde medDanfoss