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Variation of rotor resistance in conventional PI-based vector controlled wind driven systems degrades the performance. This paper presents a novel adaptive power control method for the doubly fed induction generator (DFIG) based on the brain emotional learning-based intelligent controller (BELBIC), in which one set of conventional PI controllers are replaced with the soft BELBIC controllers. To obtain...
The paper proposed a neural network solution to the indirect vector control of three phase induction motor including a real-time trained neural controller for the IM angular velocity which permitted the speed up reaction to the variable load. The basic equations and elements of the indirect field oriented control scheme are given. The control scheme is realized by one recurrent and two feedforward...
A nonlinear speed controller for permanent magnet synchronous motor (PMSM) was designed to achieve speed tracing control and robust adaptive control. The proposed strategy was composed of nominal model method, backstepping control, sliding mode approach and RBF network approach. The controller included two parts: the model controller and the robust controller. The former was designed to ensure a desired...
Due to its great potential value in theory and application, nonlinear control strategies of synchronous motors (SM) in the nonlinear systems, especially passivity-based control (PBC) methods, have been a focus in the literature. An adaptive PBC strategy for SM with time-varying load torque to track flux and speed trajectories is proposed in this paper. The key point of this method is the identification...
In this paper, we introduced a linear motor-based transfer system with an active PID controller which can be replaced with an automated guided vehicle (AGV) for the port automation. This system, which is named LMCTS(liner motor-based container transfer system), is based on PMLSM (permanent magnetic linear synchronous motor) which basically consists of stator modules on the rail and shuttle car. Therefore...
Wind power generation system is typical multi-variable, non-linear and too complex to build precise mathematical model. In order to capture maximum energy at certain wind speed range and regulate active and reactive power independently, adaptive fuzzy control based on stator flux-oriented vector control was adopted. The simulation program was written in C compile language and Matlab. The results show...
A self-tuning two degree of freedom (2-DOF )PID controller based on fuzzy inference is presented. In view of the deficiency of conventional 2-DOF PID controller in the parameter time varying system, integrate the two-degree-of-freedom PID control with fuzzy techniques, a self-tuning PID controller based on fuzzy inference is designed. On-line automatically tuned parameters are realized at different...
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