LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Heuristic optimization based dynamic weighted state feedback approach for 2DOF PI-controller in automatic voltage regulator

Photo from wikipedia

Abstract The intelligent, robust and reliable control of Automatic Voltage Regulator is essential to maintain a constant voltage level of synchronous generator working under different operating conditions. The heuristic optimization… Click to show full abstract

Abstract The intelligent, robust and reliable control of Automatic Voltage Regulator is essential to maintain a constant voltage level of synchronous generator working under different operating conditions. The heuristic optimization based 2DOF state-feedback PI-controller which regulates voltage output of synchronous generators markedly towards severe and continuous disturbances by using amplifier output as an additional feedback is a recent and powerful AVR strategy. In this study, to provide elasticity of dynamic response of this AVR scheme against relatively severe and continuous disturbances, its state-feedbacks are dynamically weighted by the flexible coefficients. Indeed, when the curves of the weight coefficients versus step disturbance are investigated, it is observed that while the disturbance increases, the weight coefficients also rise the effect of amplifier feedback automatically in order to regulate the voltage output of the AVR. The novel dynamic weighting approach increases the system performance between 9.48% and 19.65% for different working conditions. After robustness and stability analyses, a suggestion for real implementation scheme is presented and interpreted.

Keywords: heuristic optimization; voltage regulator; voltage; feedback; automatic voltage; state

Journal Title: Engineering Science and Technology, an International Journal
Year Published: 2021

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.