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This paper describes a multiobjective optimization design technique for a six-phase copper rotor induction motor mounted with a scroll compressor to achieve minimum manufacturing cost and starting current, and maximum efficiency and power factor. The proposed algorithm uses the modified particle swarm optimization and the Taguchi method with finite-element analysis. The experimental results confirm...
Due to uncertainties exist in the applications of the permanent magnet synchronous motor (PMSM) servo drive which seriously influence the control performance. The integral back stepping controller and adaptive recurrent neural network uncertainty observer (RNNUO) is proposed to control the rotor of the PMSM to track periodic references in this paper. Firstly, the field-oriented mechanism is applied...
An integral backstepping control system is proposed to control the rotor position of a permanent magnet synchronous motor (PMSM) drive using adaptive fuzzy neural network uncertainty observer (AFNNUO) in this paper. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an integral backstepping approach is proposed to control the motion of PMSM...
In this study a fuzzy neural network (FNN) control system with adaptive algorithm is proposed to control permanent magnet synchronous motor (PMSM) drive system. First, the DSP field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, the adaptive FNN control system is proposed to control the rotor of the PMSM servo drive for the tracking of periodic reference...
In this paper an adaptive backstepping control system is proposed to control the rotor position of a permanent magnet synchronous motor (PMSM) drive using recurrent fuzzy neural network (RFNN). First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control...
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...
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...
In this paper an adaptive backstepping control system is proposed to control the rotor position of a permanent magnet synchronous motor (PMSM) drive using recurrent neural network (RNN). First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control system...
The hybrid recurrent fuzzy neural network (HRFNN) control permanent magnet synchronous motor (PMSM) drive system using rotor flux estimator is developed to control electric motorcycle in this paper. First, the dynamic models of a PMSM drive system and electric motorcycle are builted though experimental tests and parameters measurements. Then, a HRFNN control system using rotor flux estimator is developed...
The permanent magnet synchronous motor (PMSM) drive system using adaptive backstepping fuzzy neural network (ABFNN) control is investigated for the tracking of periodic reference inputs. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control system...
The purposes of this study are developed a servo drive system with fuzzy neural network (FNN) for a permanent magnet synchronous motor (PMSM) drive system based on digital signal processor (DSP). First, a field-oriented PMSM drive system which consists of a hysteresis-band current-controlled PWM VSI, a coordinate translation and sin/cos lookup table generation are implemented using DSP control system...
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