Abstract:
The need for energy conservation is increasing the requirements for increased levels
of electric motor & pump efficiencies. Controlling motor speed with load change has
proven very successful in many applications such as water pumping. It is therefore
important to optimize the efficiency of motor drive and pump systems if significant
energy savings are to be obtained. The system gives best performance when system
operates at the rated operating condition with the constant pressure head. But in actual
operation the system is operating different operating point due to present system
condition. (Actual system head may vary with the sump level, and the designed pump
characteristics may not match with the present condition, so on). This causes to
inefficient system operation.//
This thesis proposes a new control scheme based on Neuro-Fuzzy concepts. The
fuzzy logic concept used computes the required motor speed to meet the optimum
overall efficiency of the pumping system in the presence of the variation of the output
pressure, sump level and tank level. An Artificial Neural Network (ANN) used to
predict the required Voltage and Frequency as the speed changes.//
The network was trained on a set of data patterns generated by calculation based on
the induction motor with pump equivalent circuit, using Matlab/Simulink computer
piograme. A simulation result of overall efficiency and specific energy consumption
has shown a very good concordance between the two methods, (with or without
Neuro-Fuzzy controller).//
The detail of overall energy saving while proposed Neuro-Fuzzy control shows below
table.
Energy savings 433,555 kWh per annum
Benefit Rs. 3,077,850.00 perannuam
The proposed methods can be easily implemented on pumping system equipped with
pressure sensors. However, like many pumping system control techniques, the
developed model is sensitive to motor and pump parameter variation due to
temperature changes.//
Finally, the advantages that can be gained by Neuro-Fuzzy controller with the
proposed efficiency optimization algorithm are tremendous, and energy saving can be
achieved with a very high percentage, specially in the field of water pumping systems.
