Open AccessMulti-objective solution with PSO algorithm for minimization of torque ripple and speed settling time by using solar-fed 11,9 and 3-level multi-level inverter with vector control of induction motor
Author(s) -
G Shashibhushan,
Savita Sonoli
Publication year - 2020
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v11.i2.pp827-832
Subject(s) - control theory (sociology) , torque ripple , inverter , settling time , pid controller , electronic speed control , particle swarm optimization , torque , direct torque control , matlab , controller (irrigation) , ripple , induction motor , vector control , computer science , reduction (mathematics) , mathematics , algorithm , engineering , step response , control engineering , physics , voltage , control (management) , temperature control , artificial intelligence , biology , operating system , geometry , agronomy , thermodynamics , electrical engineering
The 11,9 & 3-level cascaded multi-level inverter is fed with vector control of induction motor. The speed performance of the machine is dependent on the PI controller used for speed control. Regulation of speed can go till 5% is allowable. If the PI controller parameters are not optimal the speed error gets increase. The torque ripple can be reduced by using the multilevel inverter. More than that the PI controller output is related with torque. So, the problem is formulated with reduction of settling time of speed and torque ripple. The Multi-objective Particle Swarm Optimization (MPSO) algorithm is used to solve the problem. And the performances are compared with PI controller and PSO-PI control of vector control drive. MATLAB is used to solve the entire system.