scholarly journals Simulation based of DC-DC Converter for AVR System and PID Controller with Tree Seed Algorithm based AVR System for Synchronous Generator

2021 ◽  
Vol 9 (VII) ◽  
pp. 1959-1969
Author(s):  
Ms. Mrunali Kadam
Keyword(s):  
Transient Response ◽  
Pid Controller ◽  
Input Voltage ◽  
Pid Controllers ◽  
Voltage Regulator ◽  
Control Methods ◽  
Excitation System ◽  
Avr System ◽  
Terminal Voltage ◽  
Step Down

The voltage is supervised by AVR an automatic voltage regulator. It transforms the varying voltage into a constant voltage. The most prevalent cause of voltage fluctuation is changes in load on the supply system. An excitation system is a system that provides the necessary field current to the synchronous machine's rotor winding. The most important characteristics of an excitation system are dependability under all operating circumstances, ease of control, and ease of maintenance, stability, and quick transient response. In the literature, several control systems, such as in the literature, PID controllers, adaptive control methods, and intelligent control methods have all been suggested. On the one hand to get an accurate and quick generator terminal voltage control, the usage of a step down chopper in the exciter circuit is suggested in this study. DC-DC converters are also called as Choppers. The Step down chopper, It changes a given DC input voltage into a determined DC output voltage The input voltage source is tie up with governable solid state device that acts as a switch. Switches can be made using metal oxide semiconductor field effect transistors (MOSFETs) or insulated gate bipolar transistors (IGBT). The field circuit of the generator is associated to the chopper and a Praportional-Intigral controller deviates the converter duty cycle to vary the generator's terminal voltage. to regulate the generator field voltage. On the other hand, Tree-Seed Algorithm (TSA) algorithm based PID controller is put forward for automatic voltage regulator system. The suggested approach calculates PID coefficients to the best of its ability. The execution of this TSA-based optimum PID controller is compared to that of various PID controllers produced in the literature utilizing different meta-hermetic optimization techniques. Comparative research in for the suggested schemes has a superior transient response and is more resistant to fluctuations in Generator load and DC input voltage.

scholarly journals Operation of Whale Optimization Algorithm in PID Controllers for AVR System

2020 ◽  
Vol 06 (09) ◽  
pp. 1-5
Author(s):  
Sujatha Nebarthi
Keyword(s):  
Transient Response ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Optimization Technique ◽  
Optimization Techniques ◽  
Whale Optimization Algorithm ◽  
Pid Controllers ◽  
Avr System ◽  
Whale Optimization ◽  
Strong Control

In the present paper presents the Whale Optimization Algorithm technique (WOA) it is a partial search algorithm. To advance the improved the performance of the PID controller uses whale optimization algorithm as the optimization technique. The proposed algorithm is used to tuning the controllers very fast and tuning is very high quality in PID Controllers is most effectively. It growths the system by its main transient response and by comparing the all terms of rise time (tr), settling time (ts) and peak overshoot (% Mp). More over the three gains are (proportional (kP), integral (ki) and derivative (Kd)) of the PID controller have been enhanced by the WOA technique to control the Automatic Voltage Regulator system. In this the transient response of the terminal voltage may be observed from the well-conditioned analysis they can be suggest WOA established PID Controller and which reveal a very most upgrade strong control structure for the managing the AVR system in the Electrical Power System. The simulation result of the propounded controller has shown superior result to the other optimization techniques on PID controller along with the transient response parameters and improve and supervise the performance of the System

Sine-cosine algorithm-based optimization for automatic voltage regulator system

2018 ◽  
Vol 41 (6) ◽  
pp. 1761-1771 ◽  
Author(s):  
Baran Hekimoğlu
Keyword(s):  
Pid Controller ◽  
Design Method ◽  
Voltage Regulator ◽  
Bee Colony ◽  
Automatic Voltage Regulator ◽  
Avr System ◽  
Sine Cosine Algorithm ◽  
Tuning Methods ◽  
Domain Performance ◽  
Novel Design

A novel design method, sine-cosine algorithm (SCA) is presented in this paper to determine optimum proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system. The proposed approach is a simple yet effective algorithm that has balanced exploration and exploitation capabilities to search the solutions space effectively to find the best result. The simplicity of the algorithm provides fast and high-quality tuning of optimum PID controller parameters. The proposed SCA-PID controller is validated by using a time domain performance index. The proposed method was found efficient and robust in improving the transient response of AVR system compared with the PID controllers based on Ziegler-Nichols (ZN), differential evolution (DE), artificial bee colony (ABC) and bio-geography-based optimization (BBO) tuning methods.

scholarly journals Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1472 ◽  
Author(s):  
Ismail Akbar Khan ◽  
Ali S. Alghamdi ◽  
Touqeer Ahmed Jumani ◽  
Arbab Alamgir ◽  
Ahmed Bilal Awan ◽  
...  
Keyword(s):  
Dynamic Response ◽  
Fractional Order ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Robustness Analysis ◽  
Operating Conditions ◽  
Voltage Regulator ◽  
Swarm Optimization ◽  
Automatic Voltage Regulator ◽  
Avr System

Owing to the superior transient and steady-state performance of the fractional-order proportional-integral-derivative (FOPID) controller over its conventional counterpart, this paper exploited its application in an automatic voltage regulator (AVR) system. Since the FOPID controller contains two more control parameters (µ and λ ) as compared to the conventional PID controller, its tuning process was comparatively more complex. Thus, the intelligence of one of the most recently developed metaheuristic algorithms, called the salp swarm optimization algorithm (SSA), was utilized to select the optimized parameters of the FOPID controller in order to achieve the optimal dynamic response and enhanced stability of the studied AVR system. To validate the effectiveness of the proposed method, its performance was compared with that of the recently used tuning methods for the same system configuration and operating conditions. Furthermore, a stability analysis was carried out using pole-zero and bode stability criteria. Finally, in order to check the robustness of the developed system against the system parameter variations, a robustness analysis of the developed system was undertaken. The results show that the proposed SSA-based FOPID tuning method for the AVR system outperformed its conventional counterparts in terms of dynamic response and stability measures.

scholarly journals Enhanced Chaotic Grasshopper Optimization Algorithm Based PID Controller for Automatic Voltage Regulator System

2019 ◽  
Vol 8 (4) ◽  
pp. 348-354
Keyword(s):  
Optimization Algorithm ◽  
Pid Controller ◽  
Controller Design ◽  
System Response ◽  
Voltage Regulator ◽  
Minimum Error ◽  
Avr System ◽  
Grasshopper Optimization Algorithm ◽  
Pid Controller Design ◽  
Grasshopper Optimization

This work presents, the PID controller design for AVR system using Enhanced Chaotic Grasshopper Optimization Algorithm (ECGOA). The system response under the different settings are studied with PID controller for stable and minimum error operation. The gain of the controller revealed from traditional methods to recent optimization algorithm. The ECGOA will be implemented for AVR system with PID controller and the performance in-terms of transient response, robustness, stability and error is compared with existing optimization algorithm. The ECGOA based PID controller provides good response and examined upto ±50% of variation in several component of AVR system

Effects of Feedback Signals on the Transient Response of a Power System Using a Solid State Excitation System

1979 ◽  
Vol 16 (1) ◽  
pp. 79-86 ◽  
Author(s):  
K. L. Lo ◽  
A. H. M. A. Rahim ◽  
S. K. Biswas
Keyword(s):  
Solid State ◽  
Power System ◽  
Transient Response ◽  
Transient Stability ◽  
Voltage Regulator ◽  
Excitation System ◽  
Angle Deviation ◽  
Suitable Combination ◽  
Effects Of Feedback ◽  
Torque Angle

This paper analyses the effects of feedback signals in a solid state excitation system, in addition to the normal voltage regulator signal, on the transient stability of a power system. It was observed that a suitable combination of speed deviation and torque angle deviation signal reduces the transients most effectively.

Research on the Application of the Fuzzy Control Algrithm in the HAPC System

2012 ◽  
Vol 220-223 ◽  
pp. 157-160
Author(s):  
Jing Qing Ma ◽  
Hai Bo Chen
Keyword(s):  
Dynamic Response ◽  
Pid Controller ◽  
Position Control ◽  
Pid Controllers ◽  
Control Methods ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Main Factors ◽  
High Control ◽  
Control Accuracy

The HAPC(Hydraulic Automatic Position Control) requires quick dynamic response and high control accuracy. Based on the research of the HAPC system, I build the HAPC mathematical model, then design both the Conventional PID controller and fuzzy PID controllers, simulate the two control methods using the MATLAB software, analyze the main factors which influence the results. The simulation results show that the fuzzy PID controller has the better effect in the dynamic response and the control accuracy than the former.

scholarly journals Fuzzy pH control of sugarcane juice for sugar production

2020 ◽  
Vol 9 (9) ◽  
pp. e13996321
Author(s):  
Manuel Ferreira Silva Neto ◽  
Antonio Manoel Batista da Silva ◽  
Edilberto Pereira Teixeira ◽  
Marcelo Lucas
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Ph Control ◽  
Pid Controllers ◽  
Control Methods ◽  
Nonlinear Characteristics ◽  
Fuzzy Controllers ◽  
Sugar Mills ◽  
Comparison Of The Results ◽  
State Error

A proposal to control the pH of the broth in sugar mills is presented in this work. Because it is a system with nonlinear characteristics and disturbances, the conventional control methods do not satisfy the usual requirements of the process. Among these conventional methods, we highlight the PID controller, which is basically linear. Extending the possibilities of action, the control proposal presented in this work proved to be quite satisfactory, by using fuzzy logic in a predictive way in the consideration of the effect of the disturbances in an intelligent way. The details of the proposed controller are presented, including some simulation results. The effectiveness of the proposed controller is illustrated by simulation, showing graphically the disturbances and the consequent control action, which eliminates the steady state error. The comparison of the results obtained with conventional PID controllers and the fuzzy controllers shows the predictive action of the fuzzy controllers allowing a significant reduction in the variability of the steady state error. In addition, this architecture can be modified to include other disturbances for other applications. Thus, the present proposal can be used in general to control non-linear and multivariable systems.

scholarly journals PID Controller Tuning using ACO Algorithm for AVR Systems

2020 ◽  
Vol 9 (3) ◽  
pp. 560-563 ◽  
Keyword(s):  
Pid Controller ◽  
Optimization Technique ◽  
Step Response ◽  
Pid Controllers ◽  
Tuning Method ◽  
Avr System ◽  
Disturbance Response ◽  
Pid Controller Tuning ◽  
Control Response ◽  
Optimal Gains

This paper features an effective technique to device the parameters of PID controllers for utilization together with an Automatic Voltage Regulator System (AVR). The quintessential goal is to acquire a good load disturbance response by minimizing the performance index/(Integral time square error). Simultaneously, the transient response is assured by limiting maximum overshoot, settling time and rise time of the step response to minimal values. For achieving these goals, optimum and quick tuning of the parameters (Kp, Ki, and Kd) is essential. In an effort to accomplish the aforementioned, the paper put forth an algorithm developed based on the Ant Colony Optimization technique (ACO) to decide optimal gains of PID controller and for getting optimal performance within an AVR system. Simulation results establish superior control response may be accomplished in comparison with methods like conventional tuning method (trial and error) and built-in genetic algorithm (GA) took-kit.e.

A COMPARISON BETWEEN QUANTUM INSPIRED BACTERIAL FORAGING ALGORITHM AND GA-LIKE ALGORITHM FOR GLOBAL OPTIMIZATION

2012 ◽  
Vol 11 (03) ◽  
pp. 1250016 ◽  
Author(s):  
SHARINA HUANG ◽  
GUOLIANG ZHAO
Keyword(s):  
Pid Controller ◽  
Population Based ◽  
Voltage Regulator ◽  
Search Technique ◽  
Bacterial Foraging ◽  
Avr System ◽  
Higher Dimensional ◽  
Engineering Problems ◽  
Bacterial Foraging Algorithm ◽  
Stochastic Search Technique

Bacterial foraging algorithm (BFA) is a population-based stochastic search technique for solving various scientific and engineering problems. However, it is inefficient in some practical situations. In order to improve the performance of the BFA, we propose a novel optimization algorithm, named quantum inspired bacterial foraging algorithm (QBFA), which applies several quantum computing principles, and a new mechanism is proposed to encode and observe the population. The algorithm has been evaluated on the standard high-dimensional benchmark functions in comparison with GA, PSO, GSO and FBSA, respectively. The proposed algorithm is then used to tune a PID controller of an automatic voltage regulator (AVR) system. Simulation results clearly illustrate that the proposed approach is very efficient and could be easily extended to 300 or higher-dimensional problems.

scholarly journals CONTINUOUS FIREFLY ALGORITHM FOR OPTIMAL TUNING OF PID CONTROLLER IN AVR SYSTEM

2014 ◽  
Vol 65 (1) ◽  
pp. 44-49 ◽  
Author(s):  
Omar Bendjeghaba
Keyword(s):  
Pid Controller ◽  
Firefly Algorithm ◽  
Step Response ◽  
Voltage Regulator ◽  
Proportional Integral Derivative ◽  
Swarm Optimization ◽  
Response Characteristics ◽  
Tuning Method ◽  
Point Tracking ◽  
Avr System

Abstract This paper presents a tuning approach based on Continuous firefly algorithm (CFA) to obtain the proportional-integral- derivative (PID) controller parameters in Automatic Voltage Regulator system (AVR). In the tuning processes the CFA is iterated to reach the optimal or the near optimal of PID controller parameters when the main goal is to improve the AVR step response characteristics. Conducted simulations show the effectiveness and the efficiency of the proposed approach. Furthermore the proposed approach can improve the dynamic of the AVR system. Compared with particle swarm optimization (PSO), the new CFA tuning method has better control system performance in terms of time domain specifications and set-point tracking.

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