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Effect of fuzzy PID controller on feedback control systems based on wireless sensor network Anas A. Hussien; Mehdi J Marie; Khalaf S. Gaeid
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (823.592 KB) | DOI: 10.11591/ijece.v10i3.pp2416-2425

Abstract

Wireless Networked control system (WNCS) has an important in all aspects of the life and in the research fields of Engineering. In this article, a real-time implementation of the wireless feedback control system (WFCS) is performed. The stability issue in the closed-loop control system still suffer from noise, disturbances, and need careful considerations to handle it. Three cases to discover the ability of a Fuzzy PID controller to maintain better angular position control system (PCS) is addressed and controlled by a personal computer through a wireless sensor network(WSN) constructed by ZigBee platforms. The practical issues related with the design and implementation of the wireless computerized control system (WCCS) is discussed and analyzed. The simulation results carried out with Matlab/Simulink 2018b. Different parameters effect such as maximum overshoot, sampling frequency, distance and delay time have been studied. These effects on overall system performance would be discussed. Improving the efficient use of ZigBee platform for WFCS. The simulation and experimental results prove the proposed algorithm in the field of wireless control system.
Computer Simulation of PMSM Motor with Five Phase Inverter Control using Signal Processing Techniques Khalaf S. Gaeid; Mshari Aead Asker; Nada N. Tawfeeq; Salam Razooky Mahdi
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v8i5.pp3697-3710

Abstract

The signal processing techniques and computer simulation play an important role in the fault diagnosis and tolerance of all types of machines in the first step of design. Permanent magnet synchronous motor (PMSM) and five phase inverter with sine wave pulse width modulation (SPWM) strategy is developed. The PMSM speed is controlled by vector control. In this work, a fault tolerant control (FTC) system in the PMSM using wavelet switching is introduced. The feature extraction property of wavelet analysis used the error as obtained by the wavelet de-noised signal as input to the mechanism unit to decide the healthy system. The diagnosis algorithm, which depends on both wavelet and vector control to generate PWM as current based manage any parameter variation. An open-end phase PMSM has a larger range of speed regulation than normal PMSM. Simulation results confirm the validity and effectiveness of the switching strategy.
Solar cell split source inverter for induction motor with computer control Omer N. Mahmmoud; Salam R. Mehdi; Khalaf S. Gaeid; Atheer L. Salih Al-Tameemi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i1.pp174-184

Abstract

The electrical energy is necessary for daily life, but there is a continuous increase in the usage rate of electric energy. Such an increase is a big problem, which makes us think about using alternative energy for conventional energy, in addition to the problem of pollution resulting from the use of energy generation. Solar energy is a solution for energy in terms of consumption, besides there is no environmental risk in the use of solar energy. In this work, an integrated solar system operating in the daytime has been designed to operate a 3-phase induction motor (IM). The study begins by simulating the system in the MATLAB/Simulink program in order to find out the results and verify them using the same components of the proposed algorithm. The system with photovoltaic (PV) modules 1080 W, whereas the PV array is a direct source of the designed split source inverter (SSI). This SSI is controlled by sine pulse width modulation (SPWM). The maximum power point tracking (MPPT) incremental conductance (INC) method is monitored by a computer connected to the system via a Wi-Fi connection, the 3-phase IM (373) W. The results reveal the efficiency of the system and that it can be versatile.