Electronics, Journal Year: 2024, Volume and Issue: 13(21), P. 4320 - 4320

Published: Nov. 3, 2024

Switched reluctance motors (SRMs) are widely used in industrial applications due to their advantages. Multi-motor synchronous control systems crucial modern industry, as strategies significantly impact synchronization performance. Traditional deviation coupling structures face limitations during the startup phase, leading excessive tracking errors and exacerbated by uneven load distribution, resulting desynchronized motor acceleration increased speed errors. This study proposes a modified method based on an adaptive weighted particle swarm optimization (PSO) algorithm enhance multi-motor applies equal reference torque inputs each motor’s current loop, failing address distribution causing inconsistent accelerations. To resolve this, gain equation is introduced, incorporating self-tracking error coefficients for dynamic compensation. The optimized using PSO improve system adaptability. A simulation model of three SRMs was developed Matlab/Simulink R2023b environment. compares performance traditional coupling, Fuzzy-PID improved structure, structure startup, sudden increases, disturbances. validated achieved initial set approximately 0.236 s, demonstrating faster convergence 6.35% reduction settling time. In both increase phases, two methods outperformed accuracy, with improving accuracy 54% 37.17% over respectively. Therefore, PSO-optimized demonstrates convergence, stability, enhanced

Language: Английский