Artificial neural network based controller for line starting performance synchronous motor of a conveyor system using field oriented self-controlled

This paper presents the design process of a synchronous motor of conveyor system using field oriented control of line starting [1]. The preliminary design is d-q model armature rotor line start synchronous motor with field oriented control for decreasing a starting current and torque. The design allows the motor to operate at both starting and synchronous speed. The basic equations for park-clark transformation of the rotor-stator for proposed field oriented self-controlled to synchronous motor are presented [2]. The starting performance of synchronous motor, for example in conveyor application, requires rapid dynamics and precise regulation; hence the need of direct control is becoming an urgent demand. This type of control provides an independent field oriented self-controlled of torque and current, which is similar to a separately excited synchronous motor and offers a number of attractive features. Synchronous motor has a high starting torque while separately synchronous motor can operate above the base low speed in the line starting current [3]. This paper designs study and highlights the effectiveness of the proposed field oriented control methods for a line starting performance of synchronous motor model parameter, using artificial neural network methods both simulation and manufacturers measured experimental data. A steady state and transient analysis of the synchronous motor is performed below and above base line starting current.