A Novel Methodology to Implement Non-Ideal Boost Inverter Using Genetic Algorithm based Sliding-PI Controller

Mr. Rajesh Guputa, Pro Chancellor, Department of Management, Sanskriti University, Email Id- prochancellor@sanskriti.edu.in, Mathura, Uttar Pradesh, India
Akhilendra Pratap Singh, Assistant Professor, Maharishi School of Engineering & Technology, Maharishi University of Information Technology, Email Id- akhilendrasingh.muit@gmail.com, Uttar Pradesh, India
Bhuvnesh Sharma, Associate Professor, Mechanical Engineering, Vivekananda Global University, Email Id-sharma.bhuvnesh@vitj.ac.in, Jaipur, India
Febin Prakash, Assistant Professor, Department of Computer Science and Information Technology, Jain (Deemed to be University), Email Idfebin.prakash@jainuniversity.ac.in, Bangalore, India

^* Corresponding Author: prochancellor@sanskriti.edu.in

Abstract

The paper introduces a Non-Ideal Boost Inverter with Linear Load as an alternative to the traditional Voltage Source Inverter. Unlike the traditional inverter, this new design is capable of generating a sinusoidal AC output voltage that can be either higher or lower than the DC input voltage, depending on the duty cycle. This eliminates the need for a second power conversion stage. To enhance the performance of the Boost Inverter, a Sliding-PI controller, a relatively new control topology, is employed. The Kp and Ki constants for the controller are determined using a Genetic Algorithm. The paper then proceeds to present the operations, analysis, control strategy, and simulation results of the proposed inverter design.