AN ADVANCED COST-OPTIMIZED SOLAR MOTOR DRIVE WITH LIMITED SENSOR INTEGRATION

Abstract

The cost-optimized solar motor propulsion system in this paper is distinguished by its increased efficiency and dependability, which are achieved with minimal sensor integration. The proposed architecture employs intelligent control algorithms and minimal hardware requirements to maintain efficient performance in a diverse array of solar irradiance scenarios, all while reducing overall system costs. The system's complexity, robustness, and maintenance requirements are all reduced by employing fewer sensors and use of estimate approaches. The drive is intended for applications that prioritize cost-effectiveness and long-term reliability, such as agricultural pumps and remote power systems. The proposed method surpasses conventional sensor-rich solar drive systems in terms of motor stability, energy efficiency, and cost reductions, as evidenced by both experimental and simulation data.