scholarly journals Distributed speed control for multi-three phase electrical motors with improved power sharing capability

Author(s):  
A. Galassini ◽  
A. Costabeber ◽  
C. Gerada ◽  
A. Tessarolo
2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Jamal Abd Ali ◽  
M A Hannan ◽  
Azah Mohamed

Optimization techniques are increasingly used in research to improve the control of three-phase induction motor (TIM). Indirect field-oriented control (IFOC) scheme is employed to improve the efficiency and enhance the performance of variable speed control of TIM drives. The space vector pulse width modulation (SVPWM) technique is used for switching signals in a three-phase bridge inverter to minimize harmonics in the output signals of the inverter. In this paper, a novel scheme based on particle swarm optimization (PSO) algorithm is proposed to improve the variable speed control of IFOC in TIM. The PSO algorithm is used to search the best values of parameters of proportional-integral (PI) controller (proportional gain (kp) and integral gain (ki)) for each speed controller and voltage controller to improve the speed response for TIM. An optimal PI controller-based objective function is also used to tune and minimize the mean square error (MSE). Results of all tests verified the robustness of the PSO-PI controller for speed response in terms of damping capability, fast settling time, steady state error, and transient responses under different conditions of mechanical load and speed.


Author(s):  
Sayantan Chanda ◽  
Chayan Bandopadhyay ◽  
Maitreyee Banerjee ◽  
Shalini Mondol ◽  
Ankur Bhattacharjee

2021 ◽  
Vol 5 (1) ◽  
pp. 51-62
Author(s):  
Adnan Ahmed ◽  
Abdul Majeed Shaikh ◽  
Muhammad Fawad Shaikh ◽  
Shoaib Ahmed Shaikh ◽  
Jahangir Badar Soomro

Induction motors are widely used from home to industrial applications. Speed of induction motor plays important role, so to control the speed of induction motor various techniques are adopted and one of these techniques is V/F control, which is adopted in this paper. This technique helps to control the speed in open control system in RPM. Moreover, Control is designed in LabVIEW, it is quite helpful to develop the circuit graphically and code is automatically written in the background to run on Field Programmable Gate Array (FPGA). The aim of this research is to study the impacts on diverse parameters during speed control of three phase induction machine with manipulation of GPIC. Solar technology is used as input source to drive the General-Purpose Inverter Controller (GPIC). Apart of this, impacts of modulation index and carrier frequency influencing the active, reactive and apparent power, temperature and power quality and current overshoot is analysed. MATLAB/Simulink and LabVIEW tools are used for simulation and results along with GPIC, Induction motor and solar panel as hardware.


Author(s):  
Indra Ferdiansyah ◽  
Syechu Dwitya Nugraha ◽  
Ony Asrarul Qudsi ◽  
Lucky Pradigta Setiya Raharja ◽  
Diah Septi Yanaratri ◽  
...  

2021 ◽  
pp. 315-324
Author(s):  
Álvaro Michelena ◽  
Francico Zayas-Gato ◽  
Esteban Jove ◽  
José-Luis Casteleiro-Roca ◽  
Héctor Quintián ◽  
...  

Author(s):  
Tzuen-Lih Chern ◽  
Li-Hsiang Liu ◽  
Shih-Wei Lin ◽  
Der-Min Tsay ◽  
Jao-Hwa Kuang ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2514 ◽  
Author(s):  
Niels Blaauwbroek ◽  
Phuong Nguyen ◽  
Han Slootweg

Along with the emerging development of demand side management applications, it is still a challenge to exploit flexibility realistically to resolve or prevent specific geographical network issues due to limited situational awareness of the (unbalanced low-voltage) network as well as complex time dependent constraints. To overcome these problems, this paper presents a time-horizon three-phase grid-supportive demand side management methodology for low voltage networks by using a universal interface that is established between the demand side management application and the monitoring and network analysis tools of the network operator. Using time-horizon predictions of the system states that the probability of operational limit violations is identified. Since this analysis is computationally intensive, a data driven approach is adopted by using machine learning. Time-horizon flexibility is procured, which effectively prevents operation limit violation from occurring independent of the objective that the demand side management application has. A practical example featuring fair power sharing demonstrates the effectiveness of the presented method for resolving over-voltages and under-voltages. This is followed by conclusions and recommendations for future work.


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