Three-Phase Four-Wire STATCOM Control Method Based on Neural Network PI Controller

2013 ◽  
pp. 379-386
Author(s):  
Jinghui Liu ◽  
Yihui Zheng ◽  
Gang Yao ◽  
Lidan Zhou ◽  
Xin Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Pi Controller ◽  
Three Phase

scholarly journals Hybrid DTC strategy based on predictive control with optimization of the PI controller parameters for TPIM drives

2021 ◽  
Vol 34 (02) ◽  
pp. 698-709
Author(s):  
Mehdi Ahmadi Taleshian ◽  
Mahmood Ghanbari ◽  
Seyed Mehdi Rakhtala
Keyword(s):  
Vector Control ◽  
Predictive Control ◽  
Control Method ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Pi Controller ◽  
Torque Control ◽  
Control Technique ◽  
Three Phase ◽  
Optimal Values

In this paper, a novel hybrid Direct Torque Control (DTC) strategy based on predictive control with optimization of the Proportional-Integral (PI) controller to improve overall performances of Three-Phase Induction Machine (TPIM) drives is proposed. The presented control technique has contained merits of the DTC method such as fast dynamic response, simple structure, less dependence to machine parameters and merits of vector control method such as high accuracy. Furthermore, a hybrid DTC method with optimal voltage vectors is presented.  In the proposed control system, Genetic Algorithm (GA) is employed to obtain optimal values of the PI controller parameters. Finally, simulation results under the presented control strategy showed good performances of this method in comparison with DTC and vector control techniques.

scholarly journals A Composite Control Method for Power Quality Enhancement: PI Controller with Neural Network

2021 ◽  
Vol 9 (VI) ◽  
pp. 673-680
Author(s):  
Pratibha Tiwari
Keyword(s):  
Neural Network ◽  
Power Quality ◽  
Large Scale ◽  
Control Method ◽  
Control Strategies ◽  
Research Work ◽  
Distribution Networks ◽  
Pi Controller ◽  
Quality Enhancement ◽  
Micro Grid

The number of installations of Micro-Grid will increase to quadruple by 2020. The purpose is to improve the power quality while reducing the cost and the consumption of electricity in transmission and distribution networks, using a hybrid system powered by solar and wind sources, as well as integrating storage devices. This paper reviews and discusses the Micro- Grid Model with PI controller and neural network for power quality enhancement. Then, a comparative study of different battery types used for large-scale electricity storage is carried out, followed by a review of control strategies. In this research work, designed a model in MATLAB 2015A, indicating all the power quality parameters.

Research on Combined Control Strategy of Three-Phase Photovoltaic Grid-Connected Inverter Based on Fuzzy PI Controller

2011 ◽  
Vol 347-353 ◽  
pp. 591-600
Author(s):  
Nguyen Viet Ngu ◽  
Hong Hua Wang ◽  
Le Thi Minh Tam
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Pi Controller ◽  
Current Control ◽  
Three Phase ◽  
Combined Control ◽  
Fuzzy Pi Controller ◽  
Bus Voltage ◽  
Grid Connected Inverter ◽  
Pv Grid

The control objective of three-phase photovoltaic (PV) grid-connected inverter is to generate high quality and stable AC sinusoidal output power with the same phase angle, frequency and amplitude compatible with the grid-connected voltage. To overcome the shortcoming of the normal current PWM control method and traditional PI algorithm, this paper researches a combined control strategy of three phase PV grid-connected inverter based on fuzzy PI controller. The combined control strategy switches different PWM current control method among the hysteretic PWM, SVPWM, hysteretic current SVPWM according to the error between command current and feedback current，and the d-axis command current is output of fuzzy PI controller of DC bus voltage. The simulation model of the combined control strategy for three phase PV grid-connected inverter based on normal PI controller is built with Matlab, simulation results verified the combination control strategy based on fuzzy PI controller has excellent performances.

An Immune Fuzzy PI Controller for PWM Rectifiers

2014 ◽  
Vol 577 ◽  
pp. 321-324
Author(s):  
Ze Long Shao ◽  
Ming Quan Shi ◽  
Zhen Feng Han ◽  
Xiao Dong Wang ◽  
Qi Min Li
Keyword(s):  
Control Method ◽  
Pi Controller ◽  
Voltage Source ◽  
Phase Voltage ◽  
Matlab Toolbox ◽  
Three Phase ◽  
System Output ◽  
Fuzzy Pi Controller ◽  
Speed Stability ◽  
Pwm Rectifiers

This paper presents a new control method for three-phase voltage source rectifier to achieve a good system output response. The design process of fuzzy immune PI controller was described in detail. Moreover, a simulation model was built by the matlab toolbox to prove that rectifiers based on immune fuzzy PI controller have better performance in respond speed, stability and robustness ability, compared with rectifiers based on conventional PI controller.

scholarly journals D-PMU and 5G-Network-Based Coordination Control Method for Three-Phase Imbalance Mitigation Units in the LVDN

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2754
Author(s):  
Mengmeng Xiao ◽  
Shaorong Wang ◽  
Zia Ullah
Keyword(s):  
Mobile Networks ◽  
Control Method ◽  
Low Voltage ◽  
Control Unit ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Positive Sequence ◽  
Measurement Unit ◽  
Control Units ◽  
Three Phase

Three-phase imbalance is a long-term issue existing in low-voltage distribution networks (LVDNs), which consequently has an inverse impact on the safe and optimal operation of LVDNs. Recently, the increasing integration of single-phase distributed generations (DGs) and flexible loads has increased the probability of imbalance occurrence in LVDNs. To overcome the above challenges, this paper proposes a novel methodology based on the concept of "Active Asymmetry Energy-Absorbing (AAEA)" utilizing loads with a back-to-back converter, denoted as “AAEA Unit” in this paper. AAEA Units are deployed and coordinated to actively absorb asymmetry power among three phases for imbalance mitigation in LVDNs based on the high-precision, high-accuracy, and real-time distribution-level phasor measurement unit (D-PMU) data acquisition system and the 5th generation mobile networks (5G) communication channels. Furthermore, the control scheme of the proposed method includes three control units. Specifically, the positive-sequence control unit is designed to maintain the voltage of the DC-capacitor of the back-to-back converter. Likewise, the negative-sequence and zero-sequence control units are expected to mitigate the imbalanced current components. A simple imbalanced LVDN is modeled and tested in Simulink/Matlab (MathWorks, US). The obtained results demonstrate the effectiveness of the proposed methodology.

scholarly journals An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor

2021 ◽  
Vol 11 (6) ◽  
pp. 2685
Author(s):  
Guojin Pei ◽  
Ming Yu ◽  
Yaohui Xu ◽  
Cui Ma ◽  
Houhu Lai ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Experimental Validation ◽  
Control Method ◽  
Smith Predictor ◽  
Constant Force ◽  
Matlab Simulation ◽  
Adjustment Time

A compliant constant-force actuator based on the cylinder is an important tool for the contact operation of robots. Due to the nonlinearity and time delay of the pneumatic system, the traditional proportional–integral–derivative (PID) method for constant force control does not work so well. In this paper, an improved PID control method combining a backpropagation (BP) neural network and the Smith predictor is proposed. Through MATLAB simulation and experimental validation, the results show that the proposed method can shorten the maximum overshoot and the adjustment time compared with traditional the PID method.

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