In chemical industries in mid 90’s, process engineers were using the classical controller tuning methods to find the controller parameter values like Kp, Ki ,and Kd. The classical controller tuning methods may require complex computations to identify the controller parameters. With the evolution of soft computing methods these classical control methods were eliminated. This paper focus on desig...

The brushless direct current (BLDC) motor is characterized by high torque, which made it widely used in many industrial applications. To improve the working performance of BLDC motor, addition controllers such as proportional integral derivative (PID) adopted. obtain high-performance controllers, design process adopted to develop a suitable algorithm. genetic algorithm (GA) was chosen tune PID ...

<p><span>The current work aims to use traditional control algorithms and advanced optimization that was chosen for its ease of the possibility using it in many industrial applications. By setting appropriate specifications simulation model after conducting planned tests simulate different applications motor’s within electrical systems, results proved obtain good performance work, be...

Abstract The aim of the present work is synthesis and optimal tunning a PID controller designed to control displacement volume an axial-piston pump intended for hydraulic systems with open circulation. controlled in real-time through system developed by authors based on electro-hydraulic proportional valve (replacing conventional hydro-mechanical controller) industrial controller. experimental ...

In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been proposed in the literature to optimize the response of the controlled system. These functions inclu...

In this paper contend with the determination of offline, optimal proportional-integral-derivative (PID) controller parameters of an automatic voltage regulator (AVR) system using Adaptive Tabu Search (ATS) algorithm is presented. Parameter of this PID controller is obtained by minimizing the performance index such as integrated absolute error (IAE), the integral of squared error (ISE), and the ...

Abstract – The main objective of the combustion controller in a thermal power plant is to regulate fuel and air in proper ratio to maintain the desired steam pressure at the turbine inlet, irrespective of the changes in steam demand. To achieve a continuous supply of steam at the desired pressure conditions is difficult to cope with inherent time delay, nonlinearity due to uncertainty of the co...

A strategy was proposed to determine the optimal operating point for the proportional-integral-derivative (PID) controller of a wind turbine, and identify the stability regions in the parameter space. The proposed approach combined particle swarm optimization (PSO) and radial basis function neural network (RBFNN) algorithms. These intelligent algorithms are artificial learning mechanisms that c...