A New Approach to Improve Induction Motor Performance in Light-Load Conditions

Abstract

-Induction motors often reach their maximum efficiency at the nominal load. In most applications, the machine load is not equal to the nominal load, thus reduces the motor efficiency and turns a greater percent of power into loss. In this paper, the induction motor control problem has been investigated to reduce the system losses. The Field Oriented Control method (FOC) has been employed in this paper. In this research, the mathematical equations related to system losses are calculated in relation to torque and speed, and then the q-and d-axis are summarized according to the current components. After that, the proposed method is applied along with d-and q-axis. In the recent three decades, many techniques have been suggested to improve the induction motor performance using smart and non-smart methods. In this paper, a new PSO-Fuzzy method have used in real time. The fuzzy logic method serves as speed controller in q-axis and PSO algorithm controls the optimum flux in d-axis. It will be proved that the use of this combined method will lead to a significant improvement in motor efficiency.

Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization

“…The fitness function of AR-DPSO can be described as follows: = loss Cu Fe J P P P   (22) In the algorithm, the positions of the particles are equivalent to the value of the d-axis current in the control circuit. The structure of the proposed online AR-DPSO is shown in Fig.…”

“…But compared with LMC that can directly calculate and set the optimal magnetic flux according to the working conditions of PMSM, the GSM-SC requires the speed of PMSM to be constant as calculating the flux linkage under different torques, and sequentially adjust the optimization direction of the magnetic flux according to the size of the flux linkage. Thus, the calculation efficiency of GSM-SC is relatively slow [22].…”