scholarly journals Damping Harmonic Distortion Using Active Filter with PID Control at Udayana University Faculty of Engineering Bukit Jimbaran

2018 ◽  
Vol 2 (2) ◽  
pp. 29
Author(s):  
I Made Suartika ◽  
Rukmi Sari Hartati ◽  
I.B.G. Manuaba
Keyword(s):  
Pid Control ◽  
Harmonic Distortion ◽  
Active Filter ◽  
Operating Conditions ◽  
Proportional Integral Derivative ◽  
Power Losses ◽  
Shunt Active Filter ◽  
Before And After ◽  
Proportional Integral Derivative Control ◽  
Simulation Results

Increased THD (Total Harmonics Distortion) in the utility, caused by the increasing operation of non-linear loads. High THD current (THDi) will affect the increase of power losses in the power system. In this study, THD analysis of the simulation results was performed according to IEEE 519-2014 standard on existing condition, shunt active filter operating condition and shunt active filter operating conditions with PID (proportional integral derivative) control, also analyzed losses before and after harmonic impact. The result of losses analysis on existing condition: losses phases R 3.38%, phase S 2.29%, phase T 3.33%. Total losses on existing condition 9.01%. Operation with active shunt filter is obtained losses for phase R 1.60%, phase S 2.46%, phase T 1.67%, so the total losses become 5.73%. While using the active filter with PID control for losses phase R 1.02%, phases S 0.89%, phases T 0.99%, so the total losses fell to 2.18%

Development of Control System by Nonlinear Compensation Using Digital Acceleration Control

2010 ◽  
Author(s):  
Takanori Emaru ◽  
Kazuo Imagawa ◽  
Yohei Hoshino ◽  
Yukinori Kobayashi
Keyword(s):  
Control System ◽  
System Identification ◽  
Mechanical System ◽  
Pid Control ◽  
Estimation Method ◽  
Proportional Integral Derivative ◽  
Inertia Term ◽  
Modeling Errors ◽  
Nonlinear Compensation ◽  
Simulation Results

Proportional-Integral-Derivative (PID) control has been most commonly used to operate mechanical systems. In PID control, however, there are limits to the accuracy of the resulting movement because of the influence of gravity, friction, and interaction of joints. We have proposed a digital acceleration control (DAC) that is robust over these modeling errors. One of the most practicable advantages of DAC is robustness against modeling errors. However, it does not always work effectively. If there are modeling errors in the inertia term of the model, the DAC controller cannot control a mechanical system properly. Generally an inertia term is easily modeled in advance, but it has a possibility to change. Therefore, we propose an online estimation method of an inertia term by using a system identification method. By using the proposed method, the robustness of DAC is considerably improved. This paper shows the simulation results of the proposed method using 2-link manipulator.

scholarly journals Improving Power Quality and Mitigation of Harmonic Distortion Impact at Photovoltaic Electric Vehicle Charging System

2021 ◽  
Vol 5 (1) ◽  
pp. 25-32
Author(s):  
Adel Elgammal ◽  
Curtis Boodoo
Keyword(s):  
Electric Vehicle ◽  
Power Quality ◽  
Fuzzy Logic Controller ◽  
Harmonic Distortion ◽  
Active Filter ◽  
Current Control ◽  
Shunt Active Filter ◽  
Electric Cars ◽  
Charging System ◽  
High Penetration

This article offers a clear and realistic design for an active power filter to increase reliability and power quality of the photovoltaic charging system and a high-penetration electric vehicle distribution system. The MOPSO algorithm is used as the basis for problems with optimization and filter tuning. A typical regular load curve is used to model the warped power grid over a 24-hour cycle to estimate the total harmonic distortion (THD). For structures with high penetration of electric cars, the probability of minimizing THD (for example to five percent) is explored via optimum capacity active shunt filters and shunt capacitors. To maximize general performance of the charging system, the switching systems are re-scheduled. Moreover, to increase the current control accuracy of shunt active filter, the fuzzy logic controller is utilized. The major drawback to new system is that it would have unrestricted billing for entire day to cope with voltage interruption. In MATLAB / SIMULINK, detailed machine setup and control algorithm experiments are simulated. The simulation findings confirm the efficiency and viability of projected shunt active filter to enhance voltage profile and track power performance of photovoltaic charging system.

Active Force Control Applied to Spray Boom Structure

2013 ◽  
Vol 315 ◽  
pp. 616-620 ◽  
Author(s):  
Mona Tahmasebi ◽  
Roslan Abdul Rahman ◽  
Musa Mailah ◽  
Mohammad Gohari
Keyword(s):  
Pid Control ◽  
Force Control ◽  
High Frequency ◽  
Pid Controller ◽  
Active Force ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Active Force Control ◽  
Simulation Results ◽  
Vertical Vibrations

Distribution pattern of spray boom in fields is affected by several parameters which one of the important reasons is horizontal and vertical vibrations because of unevenness surfaces. Spray boom movements lead to decrease of spread efficiency and crop yield. Generally, active suspension is employed to control and attenuate the vibration of sprayer booms because these suspensions reduce the high frequency vibration of spray booms thanks to irregularities soil. In this research, a proportional-integral-derivative controller with active force control is used to remove undesired rolling of spray boom. Simulation results depict that the proposed scheme is more effective and accurate than PID control only scheme. The AFC based scheme shows the robustness and accuracy compared to the PID controller.

Performance-Adaptive Generalized Predictive Control-Based Proportional-Integral-Derivative Control System and Its Application

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Takao Sato ◽  
Toru Yamamoto ◽  
Nozomu Araki ◽  
Yasuo Konishi
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Pid Control ◽  
Design Method ◽  
Design Parameters ◽  
Generalized Predictive Control ◽  
Control Performance ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Proportional Integral Derivative Control

In the present paper, we discuss a new design method for a proportional-integral-derivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a user-specified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.

scholarly journals Time-Delay Synchronization and Anti-Synchronization of Variable-Order Fractional Discrete-Time Chen–Rossler Chaotic Systems Using Variable-Order Fractional Discrete-Time PID Control

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2149
Author(s):  
Joel Perez Padron ◽  
Jose Paz Perez ◽  
José Javier Pérez Díaz ◽  
Atilano Martinez Huerta
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Discrete Time ◽  
Pid Control ◽  
Chaotic Systems ◽  
Discrete Systems ◽  
Variable Order ◽  
Proportional Integral Derivative ◽  
Discrete Time Delay ◽  
Proportional Integral Derivative Control

In this research paper, we solve the problem of synchronization and anti-synchronization of chaotic systems described by discrete and time-delayed variable fractional-order differential equations. To guarantee the synchronization and anti-synchronization, we use the well-known PID (Proportional-Integral-Derivative) control theory and the Lyapunov–Krasovskii stability theory for discrete systems of a variable fractional order. We illustrate the results obtained through simulation with examples, in which it can be seen that our results are satisfactory, thus achieving synchronization and anti-synchronization of chaotic systems of a variable fractional order with discrete time delay.

scholarly journals Multiple AI based Controlling Techniques for Power Filter Output Quality Improvement

2021 ◽  
Vol 7 (1) ◽  
pp. 11-20
Author(s):  
Rajesh Raghuvanshi ◽  
Dr Sukul Lomash
Keyword(s):  
Distribution System ◽  
Output Voltage ◽  
Learning Algorithm ◽  
Harmonic Distortion ◽  
Active Filter ◽  
Voltage Source ◽  
Quality Factors ◽  
Nonlinear Load ◽  
Shunt Active Filter ◽  
Power Filter

The excessive of power electronics devices in distribution system has evolved the problem of power quality. This work represents the effective solution of shunt active power filter for eliminating the harmonics to maintain the quality of utility power supply. In the proposed scheme shunt active filter acts as a voltage source and eliminates harmonics by injecting equal but opposite harmonics components at the point of common coupling. Simulation of shunt active filter based on instantaneous reactive has been achieved in the MATLAB/SIMULINK environment. The controllers are being designed with the objective of reducing the THD% in voltage and current available at the nonlinear load terminal of the system. The controller incorporated optimization algorithms based on the artificial intelligence techniques as well. The comparative analysis of the effectiveness and efficiency of the controllers in improving the quality factors has been carried out. The distortion level in the output voltage waveforms in both the cases being fed to the load when compared, it is found that proposed hybrid structure of control for the filter is more effective in reducing the distortion as compared to standard PQ theory based architecture. The study concluded that the total harmonic distortion in the voltage output waveform being fed to the load using only PQ theory based online learning algorithm is found to be 1.59 % while in case of the output voltage at the load terminal from the power filter using proposed hybrid algorithm comprising of NN learning with CSA optimizing control and PQ_RLS algorithm for THD reduction the THD% level is 0.43 %.

Design of Active Filter Based on the Active Power Balance

2014 ◽  
Vol 596 ◽  
pp. 709-712
Author(s):  
Ling Ji
Keyword(s):  
Single Phase ◽  
Harmonic Distortion ◽  
Active Power ◽  
Active Filter ◽  
Simulation Software ◽  
Point Of View ◽  
Inductive Load ◽  
Harmonic Compensation ◽  
Shunt Active Filter ◽  
Functional Point

In order to eliminate harmonics generated by the power electronic devices, from a functional point of view the amount of the balance, the use of filters to supply current and DC voltage is sampled in a controlled manner to achieve harmonic compensation, the establishment of a single-phase active power filter the control system of the model and the theoretical analysis of the program by Saber simulation software has been validated in simulation, based on a prototype developed, according to the single-phase shunt active filter to achieve our scheme can effectively harmonic compensation for pollution caused by the rectifier with inductive load, simulation and experimental results show that this method can be controlled harmonic distortion at 5.8%.

scholarly journals Design of Multiregional Supervisory Fuzzy PID Control of pH Reactors

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Shebel AlSabbah ◽  
Mujahed AlDhaifallah ◽  
Mohammad Al-Jarrah
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Structure ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
End User ◽  
Fuzzy Pid Control ◽  
Hybrid Neural Network ◽  
Reference Tracking ◽  
Proportional Integral Derivative Control

This work concerns designing multiregional supervisory fuzzy PID (Proportional-Integral-Derivative) control for pH reactors. The proposed work focuses, mainly, on two themes. The first one is to propose a multiregional supervisory fuzzy-based cascade control structure. It would enable modifying dynamics and enhance system’s stability. The fuzzy system (master loop) has been chosen as a tuner for PID controller (slave loop). It takes into consideration parameters uncertainties and reference tracking. The second theme concerns designing a hybrid neural network-based pH estimator. The proposed estimator would overcome the industrial drawbacks, that is, cost and size, found with conventional methods for pH measurement. The final end-user-interface (EUI) front panel and the results that evaluate the performance of the supervisory fuzzy PID-based control system and hybrid NN-based estimator have been presented using the compatibility found between LabView and MatLab. They lead to conclude that the proposed algorithms are appropriate to systems nonlinearities encountered with pH reactors.

scholarly journals ANFIS control of a shunt active filter based with a five-level NPC inverter to improve power quality

2021 ◽  
Vol 11 (3) ◽  
pp. 1886
Author(s):  
Mahmoud Mostefa Tounsi ◽  
Ahmed Allali ◽  
Houari Merabet Boulouiha ◽  
Mouloud Denaï
Keyword(s):  
Power Quality ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Harmonic Distortion ◽  
Active Filter ◽  
Nonlinear Loads ◽  
Inference System ◽  
Shunt Active Filter ◽  
Neuro Fuzzy

This paper addresses the problem of power quality, and the degradation of the current waveform in the distribution network which results directly from the proliferation of the nonlinear loads. We propose to use a five-level neutral point clamped (NPC) inverter topology for the implementation of the shunt active filter (SAPF). The aim of the SAPF is to inject harmonic currents in phase opposition at the connection point. The identification of harmonics is based on the pq method. A neuro-fuzzy controller based on ANFIS (adaptive neuro fuzzy inference system) is designed for the SAPF. The simulation study is carried out using MATLAB/Simulink and the results show a significant improvement in the quality of energy and a reduction in total harmonic distortion (THD) in accordance with IEC standard, IEEE-519, IEC 61000, EN 50160.

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