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The permanent magnet synchronous motor (PMSM) is increasingly playing an important role in alternating current(AC) transmission system. Recently, lots of researches have been investigated for the PMSM system without speed and position sensors. The Vector-control system based on fuzzy self-tuning PID is proposed in this paper. The new algorithm based on fuzzy self-tuning PID can improve the performance...
This paper presents Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent control of vector controlled induction motor drive. The proposed intelligent control scheme consists of sensorless adaptive neuro-fuzzy speed controller with speed estimation based on adaptive neuro-fuzzy inverse model. The proposed neuro-fuzzy speed controller incorporates fuzzy logic algorithm with a five-layer artificial...
This paper describes a hybrid controller combining a Model Reference Fuzzy Controller (MRFC) and Simple fuzzy logic control (FLC) for vector controlled permanent magnet synchronous motor (PMSM) is described. First, an MRFC system is designed to allow the plant states to follow the states produced by a reference model. The input to fuzzy controller is model error, which is the error between reference...
Fuzzy PD controls strategy capturing maximum wind energy is presented according to the variable of wind. Fuzzy has been widely used because of its nonlinear and stability. However, when it comes to the stable region under capturing maximum wind energy, it becomes fluctuation and brings dangerous to grid. Improving stability and capturing maximum wind energy are the keys of research. Simulation results...
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...
Compared with traditional fuel vehicles, electric vehicles need to deal with the problem of mapping relationship between accelerator pedal and motor-driving torque. At present, this problem is mainly resolved by means of PID control and Fuzzy control. However, the issues on stability, real-time performance, adaptability and complex achievement follow, too. In this paper, a neuromuscular-like model...
This paper describes the application of indirect adaptive fuzzy control to the speed controller of permanent magnet synchronous motor (PMSM) under external load disturbances and parameter variations in the plant. The proposed indirect adaptive fuzzy speed controller is based on feedback linearization and its parameters are updated by both speed tracking error and filtered prediction error, designed...
In this paper, conventional PI controller, sliding mode controller (SMC) and fuzzy logic controller (FLC) for rotor field oriented controlled (RFOC) induction motor drives are studied comparatively. PI is simple but sensitive to parameter variations. SMC provides strong robustness to parameters variations, disturbance rejection and system order reduction. FLC does not need exact system mathematical...
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