Brushless motors are widely used in industrial, domestic and electronic equipment today due to their high reliability, high efficiency, low maintenance and many other advantages. But they also have disadvantages, including electronic commutation, and this requires a spe More
Brushless motors are widely used in industrial, domestic and electronic equipment today due to their high reliability, high efficiency, low maintenance and many other advantages. But they also have disadvantages, including electronic commutation, and this requires a speed controller (speed) for this type of engine. In recent decades, a large number of speed controllers have been designed to control the speed of brushless motors. Typically, a derivative-integral-proportional controller is the optimal choice for controlling the speed of brushless motors. By designing the parameters of the derivative-integral-proportional control system, the speed of the brushless motors can be controlled. There are many ways to obtain the optimal derivative-integral-proportional control parameters. One of the methods that has been widely used to obtain and design derivative-integral-proportional control parameters are optimization algorithms. Water cycle optimization algorithm is an optimization algorithm that is used to optimize derivative-integral-proportional control parameters. In this paper, the derivative coefficient equal to 0, the integral coefficient equal to 0.2259937 and the proportional coefficient equal to 0.00188894 are obtained which gives the stability index equal to 0.01038433, the rise time equal to0.00962 , settling time equal to 0.01492 , peak time equal to 0.01817 , settling min equal to 0.9059. These results are compared with the results obtained from particle swarm algorithms and genetics and show that the water cycle method is better.
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The range of operation of compressors is limited by the surge phenomenon. Surge control is inevitable to deal with this phenomenon. In this paper, a solution to control it with a fuzzy controller using a surge control line and a surge line using a remote control. The sp More
The range of operation of compressors is limited by the surge phenomenon. Surge control is inevitable to deal with this phenomenon. In this paper, a solution to control it with a fuzzy controller using a surge control line and a surge line using a remote control. The speed of the compressor is also expressed using the anti-surge valve (in combination). A fuzzy controller is designed to stop the surge according to the compressor model with a high degree of safety. Simulations show the use of these simple controllers compared to classical controllers and their efficiency.
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Poor performance of the convectional household induction motors which used in home appliances such as refrigerator, cooler, laundry, washing machines, fans, hand-held power tools, and automotive window lift is generally caused by two main reasons. Firstly, they have hig More
Poor performance of the convectional household induction motors which used in home appliances such as refrigerator, cooler, laundry, washing machines, fans, hand-held power tools, and automotive window lift is generally caused by two main reasons. Firstly, they have high starting current which causes significant voltage drop, and secondly, they operate in a single speed mode and not in variable speed. In many home appliances, traditionally a discrete speed control method is used by changing the number of the poles. A proper solution for these problems can be achieved by using control drive systems. In this paper, a simple scalar control method is applied to control the speed of a permanent capacitor single phase induction motor (PCSPIM). The philosophy of this method is on the basis of simultaneous system’s frequency and voltage control on the machines terminals subject to V/f=cte. Simulation and practical implementation results clearly show the effectiveness of the simple V/f =cte speed control method for home appliances.
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In this paper, a nonlinear loss minimization control strategy for an interior permanent magnet synchronous motor (IPMSM) based on a newly developed sliding mode approach is presented. This control method sets force the speed control of the IPMSM drives and simultaneousl More
In this paper, a nonlinear loss minimization control strategy for an interior permanent magnet synchronous motor (IPMSM) based on a newly developed sliding mode approach is presented. This control method sets force the speed control of the IPMSM drives and simultaneously ensures the minimization of the losses besides the uncertainties exist in the system such as parameter variations which have undesirable effects on the controller performance except at near nominal conditions. Simulation results are presented to show the effectiveness of the proposed controller.
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