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On the basis of the Inverse System theory and Fuzzy Sliding Mode Control, this paper studies on Dynamic Decoupling Control of permanent magnet synchronous motor (PMSM), and a new sliding mode control strategy of fuzzy reasoning has been presented. According to the dynamic mathematical model of PMSM's speed regulation system, the existence of its inverse system is proven, and the design method of fuzzy...
Hybrid under-actuated control for the autonomous dynamic balance of a running electrical bicycle including frictional torque and motor dynamics is developed, where includes two control inputs: steering and pendulum voltages, and three system outputs: steering, lean and pendulum angles. Due to the under-actuated feature, two novel reference signals using three system outputs are designed so that the...
This paper presents an dSPACE implementation of three-phase squirrel-cage induction motor control using direct torque control (DTFC) technique with the help of intelligent techniques. A fuzzy PI controller is used in the speed control loop. The classical lookup table is replaced by a neural network selector providing switching state to the inverter. The rotor speed is estimated by a simple open loop...
The purpose of this paper is to investigate and implement a novel approach to learning control for permanent magnet synchronous motor (PMSM) drive system using a hybrid recurrent fuzzy neural network (HRFNN) control. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, a HRFNN speed control system that combined supervisor control, RFNN and...
This paper presents design and implementation of a sensorless speed control with DTFC (direct torque and flux control) strategy for induction motor. The DTFC in its conventional form uses algorithms to select the components of the voltage inverter. This paper proposes to replace the conventional selector switches statements of the voltage inverter by a selector based on neural networks ANN (artificial...
This paper presents a new design of 30 kw SRD based on fuzzy logic adaptive control, according to the requirement of electric vehicle to the drive system. A new structure is applied on the SRM rotor to minimize the torque fluctuation and noise of the SRM. Based on the experimental results, the SRD system has a low startup current, small torque fluctuation, wide range of speed regulation and high efficiency,...
Wind turbine system is a complex nonlinear system involving some random disturbances. Based on analyzing characteristics of wind turbine and requisitions of pitch control, a compound approach was investigated by combining dynamic feed forward and fuzzy-PI to control pitch angle. Fuzzy control can not depend on mathematical model, so it solves the problem of modeling wind turbine system including feed...
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...
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