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

Transient and steady-state performance of the (FOPID) controller over its conventional counterpart, this exploited its application in an automatic voltage regulator (AVR) system. Since the FOPID controller contains two more control parameters (? and ?) as compared to the conventional PID controller,

Project Title

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

Project Area of Specialization

Electrical/Electronic Engineering

Project Summary

Transient and steady-state performance of the (FOPID) controller over its conventional counterpart, this exploited its application in an automatic voltage regulator (AVR) system. Since the FOPID controller contains two more control parameters (µ and ?) as compared to the conventional PID controller, its tuning process was more complex. Thus, the intelligence of one of the most recently developed good solution to an optimization problem, 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 AVR system. To conform the effeciency of the proposed method, its performance was compared with that of the recently used tuning methods for the same system configuration and operating conditions. 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.

Project Objectives

1. To obtain FOPID gains by minimizing a time integrating error fitness function.
2. To Enhance Stability of an Automatic Voltage Regulator(AVR).

Project Implementation Method

1. Literature review on the basis of realm field has  been done by analysis of various aspects.
2. Design a Salp Swarm Optimization (SSA) based on FOPID by Simulation using MATLAB.
3. Finalize the project.

Benefits of the Project

1. It control the Overshoot Voltages.
2. It will give better performance then previous one’s.

Technical Details of Final Deliverable

To success the project will give the less trouble shooting and settling time of an AVR.

It reduce the error which created in PID controller .

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Energy

Other Industries

Others

Core Technology

Artificial Intelligence(AI)

Other Technologies

Others

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

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