In this paper, an attempt is made to apply the African Buffalo Optimization (ABO) to tune the parameters of a PID controller for an effective Automatic Voltage Regulator (AVR). Existing metaheuristic tuning methods have been proven to be quite successful but there were observable areas that need improvements especially in terms of the system's gain overshoot and steady steady state errors. Usin...

This paper investigates the performance of fuzzy and Particle Swarm Optimization (PSO) based PID controllers for liquid level control of two tank non-interacting system. The main aim is to minimize system performance specifications, such as rise time, settling time, peak time and peak overshoot. Initially a fuzzy controller is applied and then to achieve further improvement in performance PSO i...

This paper investigates the implementation of conventional and Particle Swarm Optimization (PSO) techniques to obtain optimal parameters of controller. In this research, the transient responses of the Coupled Tank System (CTS) are analyzed with the various conventional and metaheuristic techniques which are Trial and Error, Auto-Tuning, Ziegler-Nichols (ZN), Cohen-Coon (CC), standard PSO and Pr...

This paper presents the development and implementation of a hybrid controller to automatically levitate and precisely regulate the position of a suspended rotor in Active Magnetic Bearing system. The inherent nonlinearity and open-loop instability of AMBs present challenges for design a controller and the problem can be formulated as a dynamic, multivariable optimization problem. A single neuro...

Proportional, Integral and Derivative (PID) controllers are the most popular type of controller used in industrial applications because of their notable simplicity and effective implementation. However, manual tuning of these controllers is tedious and often leads to poor performance. The conventional Ziegler-Nichols (Z-N) method of PID tuning was done experimentally enables easy identification...

This paper presents a method to get the optimal tuning of Proportional Integral Derivative (PID) controller parameters for an AVR system of a synchronous generator using Particle Swarm Optimization (PSO) algorithm. The AVR is not initially robust to variations of the power system parameters. Therefore, it was necessary to use PID controller to increase the stability margin and to improve perfor...

This paper present a particles swarm optimization (PSO) method for determining the optimal proportional – integral derivative (PID) controller parameters, for the control of nonholonomic mobile robot that involves path tracking using two optimized PID controllers one for speed control and the other for azimuth control. The mobile robot is modelled in Simulink and PSO algorithm is implemented us...

This paper presents the implementation of Fractional Order PID controller as a supplementary controller to improve the dynamics of Load Frequency Control in an interconnected Power System. FOPID is a PID controller whose integral and derivative orders are of non-integer rather than integer. The extension of integration and derivative order from integer to fractional order provides more flexibil...

This paper present a particles swarm optimization (PSO) method for determining the optimal proportional – integral derivative (PID) controller parameters, for the control of nonholonomic mobile robot that involves path tracking using two optimized PID controllers one for speed control and the other for azimuth control. The mobile robot is modelled in Simulink and PSO algorithm is implemented us...