Synchronous motor is an alternating current (AC) motor that operates with the prime mover as the initial rotation of the rotor until the rotational speed is equal to the rotational speed of the imaginary poles on the stator. In its application a 3-phase synchronous motor needs to be set in advance so that the resulting speed is stable. In this big task of Electric Motor Control, a speed experiment was carried out on a 3-phase synchronous motor using Mathlab simulation with Siemens motor specifications, namely 50 Hz, 400 V with 16kVA power and 1500 RPM rotational speed using PID control to control the speed of a 3-phase synchronous motor so that it is more stable. From the calculations that have been carried out and the PID tuning that has been carried out, the results show that the PID control can control the motor so as to produce a more stable and efficient speed in the industry
The allocation of resource blocks is very important in wireless communication, there is an allocation of signal dimensions between users in the uplink and downlink channels. In recent years, wireless communications users are increasing day by day, but the challenge is that the available spectrum is very limited. In this article we will discuss the optimal allocation of resource blocks, which is one of the resources in MIMO-OFDMA, using the genetic algorithm (GA). The algorithm determines the number of resource blocks for each user and then transmits the results of the allocation to each user. This study will also compare the results of the allocation without and with the Genetic Algorithm (GA). The measurement parameters are carried out by changing several parameters: the number of users, the probability of mutation, the number of resource blocks and the probability of crossover. The results showed that with the use of Genetic Algorithm (GA) in the system there was an increase in the capacity value when compared to without GA. Therefore, optimization of resource blocks using Genetic Algorithm (GA) can improve system performance.
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