Modeling of Human Power Flywheel Motor through Artificial Neural Network- A Novel Approach

摘要

Some of the authors of this paper had already established a pedal operated human powered flywheel motor (HPFM) which justifies the energy requirements for process units. The different types of process units designed and tested so far intestinally suits to rural areas such as brick making machine, Low head water lifting, Wood turning, Wood strips cutting, electricity generation etc. This machine system includes three sub systems namely (i) HPFM (ii) Torsionally Flexible Clutch (TFC) (iii) A Process Unit. ANN modeling has been used to model the experimental findings for human powered flywheel motor. It has been observed that neuron size, transfer function, training function plays important role in performance of the network. The optimal selection of parametric values of each ANN parameter is carried through observation of performance, regression plots. This paper illustrates a unique method of selecting optimal ANN network configuration for fitting function approximation problem. We also found that reliability of the derived ANN model is 97%.