This paper presents a novel approach to control the speed of BLDC motor by using PID, Fuzzy, Neural Network and Anti-windup Controllers. The PID controllers is set to optimize the motor parameters such as rise time, peak time, Maximum peak overshoot and Settling time. The fuzzy controller adopts fuzzy logic to retune the PID parameters. Based on the mathematical model of BLDC Motor, novel adapt...

The aim of this paper is to employ fractional order proportional integral derivative (FO-PID) controller and integer order PID controller to control the position of the levitated object in a magnetic levitation system (MLS), which is inherently nonlinear and unstable system. The proposal is to deploy discrete optimal pole-zero approximation method for realization of digital fractional order con...

In this paper, a new analytical method based on the direct synthesis approach is proposed for the design of a multi-loop proportional-integral-derivative (PID) controller. The proposed design method is aimed to achieve a desired closed-loop response for the multiple-input, multiple-output (MIMO) processes with multiple time delays. The ideal multi-loop controller is firstly designed in terms of...

This paper proposes a swarm intelligence method that yields optimal Proportional-Integral-Derivative (PID) Controller parameters of a power system stabilizer (PSS) in a single machine infinite bus system. The proposed method utilizes the Particle Swarm Optimization (PSO) algorithm approach to generate the optimal tuning parameters. The paper is modeled in the MATLAB Simulink Environment to anal...

During the history of science of computational, many evolutionary algorithms approaches were proposed having more or less success in solving various optimization problems. The algorithm is applied for numerical simulations based on optimized proportional integral derivative (PID) control of an automatic regulator voltage system for nominal system parameters and step reference voltage input illu...

In this paper, an evolutionary computing approach for determining the optimal values of the proportional-integral-derivative (PID) controller has been proposed. Proper tuning of such controllers is obviously a prime priority as any other alternative situation will require a high degree of industrial expertise. This paper demonstrated in detail how to employ the PSO method to search efficiently ...

This paper presents the performance of utilizing a bacterial foraging optimization algorithm on a PID control scheme for controlling a five DOF two-wheeled robotic machine with two-directional handling mechanism. The system under investigation provides solutions for industrial robotic applications that require a limited-space working environment. The system nonlinear mathematical model, derived...

The modified second-order sliding mode algorithm is used for controller tuning. Namely the modified suboptimal algorithm based test (modified SOT) and non-parametric tuning rules for proportional-integral-derivative (PID) controllers are presented in the paper. In the developed method of test and tuning, the idea of coordinated selection of the test parameters and the controller tuning paramete...

In this paper the design of a nonlinear feedback controller is analyzed for concentration control of continuous stirred tank reactors (CSTR) which have strong nonlinearities. Continuous Stirred Tank Reactor (CSTR) is one of the common reactors in chemical process and all industrial process requires a solution of specific chemical strength of chemicals considered for analysis. Here Particle Swar...

Abstract By the current research, a PID tuning procedure is developed to control of an overhead crane. To enable the crane to reach a desired position, a controller design strategy must be used. This work presents a simple and efficient enough approach to control of the overhead crane based on designing a PID controller. Ziegler-Nichols method is used to initiate gains setting for PID controlle...