Speed Estimation of Stator Field Orientation Control Induction Motor Drive Based on the Particle Swarm Optimization Algorithm

Abstract

Keywords: speed estimation, flux observer, current sensor, particle swarm optimization (PSO) algorithm, stator field orientation control (SFOC) induction motor (IM) driveIn this study, flux-observer-based speed estimation was used to achieve stator field orientation control (SFOC) of an induction motor (IM) drive utilizing both stator current and stator flux, and the stator current was obtained from an IM by utilizing Hall effect current sensors. The speed estimation scheme was designed in accordance with the Lyapunov stability theory, and the flux observer gain matrix was acquired by the application of a modified particle swarm optimization (PSO) algorithm. The MATLAB/Simulink toolbox was used for simulation, and all the control algorithms were realized using a 32-bit RX62T micro controller to generate pulse width modulation (PWM) signals to the power stage, to drive the motor, and to validate this approach. Both simulation and experimental results confirmed the effectiveness of the proposed system.

Speed Estimation of Adaptive Stator-flux-vector-controlled Induction Motor Drive Based on Particle Swarm Optimization Algorithm

“…(16) The original PSO algorithm has the convergence to local solutions, and some modified methods have been developed, such as the spider monkey, dynamic system tracking, inertia weight, and constriction factor algorithms. (17,18) In this system, the inertia weight method was used, which compared with other intelligent search methods, (19,20) has the advantages of few parameters, rapid convergence, and suitability for various conditions. (21) Fig.…”

“…Eqs (17). and(18) into Eq (19). and setting 0 e qs λ = , under an SFVC condition, the absorbed reactive power of an IM can also be expressed as…”

Speed Estimation Direct Stator Field-orientation-controlled Induction Motor Drive Using Adaptive Flux Estimator

“…However, the mathematical model of an IM is nonlinear, time-variant, and coupled, making the control of an IM drive more difficult than that of a DC motor drive. According to the field orientation controlled (FOC) theory of the IM, (1) by coordinate transformation, the three-phase alternating current signals of an IM can be transformed into the torque-and flux-current components, both of which are orthogonal and can be separately dominated. This condition is analogous to a separately excited DC motor, and the maximum torque-to-current ratio is attained.…”