Abstract
Torque Control of AC Motor with FOPID Controller Based on Fuzzy Neural Algorithm
Highlights
One of the essential requirements of industrial societies is usage of electricity to produce required mechanical energy of small and large industries
A group of researchers in the recent years has concentrated on the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to set five fractional order parameters [11]
5.2.1 CONTROL BLOCK DIAGRAM In this paper, proposed control block diagram of figure 5 for torque direct control of Permanent Magnet Synchronous Motors (PMSM) is used. In this structure according to Takagi-Sugeno fuzzy system model, coefficient of FRACTIONAL ORDER PID (FOPID) with use of GA will calculate as an offline form
Summary
One of the essential requirements of industrial societies is usage of electricity to produce required mechanical energy of small and large industries. In high-tech industry such as military, medicine and aerospace, precision electric motors are used in abundance which most of these motors have advanced control system. Permanent Magnet Synchronous Motors (PMSM) due to the high power density, high ratio of torque to inertia, fast acceleration, easier maintenance operations, better power factor and efficiency have preferred than direct current and induction motors in many industrial applications at low and medium power range. PMSM is a conventional synchronous motor which instead of excitation rotor winding, brushes and slider rings, the permanent magnet is used. Permanent magnet synchronous motor stator is like as induction motors and its required (Electromotive force) EMF is sinusoidal. In PMSM motors, stator current should be sinusoidal till uniform torque achieve in motors. In synchronous motors with surface permanent magnet, Ld and Lq are equal, reluctance torque term will not exist. Positive current i will ds reduce the torque which should be omitted with design of proper controller
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