The paper presents how to design the indirect vector control of three-phase induction motor drive systems using the artificial intelligence technique called the adaptive tabu search. The results from the simulation and the experiment show that the drive system with the controller designed from the proposed method can provide the best output speed response compared with those of the conventional...

This Paper presents a particle swarm optimization (PSO) method for determining the optimal proportional-integralderivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modelled in Simulink and...

This article presents particle swarm optimization (PSO)-based optimal gain tuning of proportional integral (PI) speed controller in an induction motor (IM) drive (30 hp) with mine hoist load diagram. Optimization considers the load and speed variations, and provides appropriate gains to the speed controller to obtain good dynamic performance of the motor. IM performance is checked with the opti...

The efficient and smooth operation of direct current (DC) motors is high significance in various industrial applications. This study proposed a recent optimization technique, named equilibrium optimizer (EO) for optimal tuning the parameters proportional integral derivative (PID) controller to provide accurate robust control DC motors. Mathematical modelling motor was carried out Simulink envir...

Flux switching permanent magnet synchronous motor (FMSM) has the characteristics such as large output torque, fast speed response and high reliability, so it can be widely used in the field of high-performance and high precision control.In the permanent magnet synchronous motor control system, the speed loop usually adopts the PI control algorithm. Although the PI control algorithm is relativel...

This paper presents experimental results of a nonlinear torqueux optimal control for induction motor drives. This controller, minimizes the stored magnetic energy and the coil losses, while satisfying torque tracking control objectives [2]. The optimal control calculates and imposes time-varying (torque-reference depending) rotor ux norms. The controller is a cascadebased scheme with tree main ...

This paper presents a new controller for speed control problem of the BLDC motors. The nonlinear model of the motor is approximated by implementation of fuzzy rules. The uncertainties are considered in the fuzzy system. Using this model and linear matrix inequality (LMI) optimization, a robust controller for purpose of speed control of the motor has been designed and applied to it. The effectiv...