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Online UPS Inverter Controlled Using Soft Computing Techniques Modeling and Simulation Shanmugam Sathishkumar1, Ramachandran Meenakumari2 1Jansons Institute of Technology, Coimbatore 2Kongu Engineering College, Erode Online published on 12 July, 2017. Abstract A neural network controller for UPS inverter applications is presented. The output voltage obtained for the linear load is sinusoidal whereas for the non linear loading conditions the output voltage waveform is highly distorted. Hence it is necessary to maintain a sinusoidal output voltage for all loading conditions with minimum total harmonic distortion (THD). This can be achieved using a neural network (NN) controller to control the on line UPS. The proposed neural network controller is trained offline using the patterns obtained from a simulated controller, which had an idealized load current reference. A sinusoidal Pulse width modulation (PWM) based switching UPS inverter has been modeled. The error in the output voltage and current are traced especially under non-linear loads. Simulation results are that the proposed neural network controller can achieve low total harmonic distortion under nonlinear loading condition and good dynamic response under transient loading condition. Top Keywords Neural networks, Pulse Width modulation, Inverters. Top | |
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