A comparison between a genetically evolved controlled system and a standard PID controlled system is carried out. In “Method and Apparatus for Automatic Synthesis Controllers” by John Koza et al., a method for the automatic design and synthesis of controllers by means of genetic programming is proposed; several genetically evolved controllers are presented and compared with controllers designed...

Automatic control has played a vital role in the evolution of engineering and science. It is also important in such industrial operations as controlling temperature, pressure, humidity, flow and level in the process. This paper focus on the development and implementation of an intelligent optimization to obtain a optimum PID controller settings for level control process in cylindrical tank. Sys...

This paper presents the design of the hybrid PID-ANFIS controller for controlling the speed of the Brushless Direct Current Motor (BLDCM). The objective of this work is to obtain the BLDCM speed controller equipment effectively. The hybrid PID-ANFIS controller is a combination of classical PID controller and ANFIS controller. This method is applied to BLDCM speed controller by simulation and im...

Particle Swarm Optimization technique offers optimal or suboptimal solution to multidimensional rough objective functions. In this paper, this optimization technique is used for designing fractional order PID controllers that give better performance than their integer order counterparts. Controller synthesis is based on required peak overshoot and rise time specifications. The characteristic eq...

Our objective is to apply the fractional PID controller to enhance the system control performances. Unlike Proportional Integral Derivative (PID) controller, there is no systematic and yet rigor design or tuning method existing for this PID controller. In this paper a method to design PID controller is presented. The basic ideas of the tuning method are based, in the first place, on the convent...

Because of their potential energy savings, dividing-wall columns (DWCs) have been viewed as an interesting alternative to the use of sequences based on conventional distillation columns. The energy savings, however, must be supported by suitable controllability properties for a proper operation. In this study we use a design methodology to optimize the gains of the Takagi−Sugeno fuzzy controlle...

This paper proposes a method of determining the optimal proportional integral derivative (PID) controller parameters using the particle swarm optimization (PSO) technique. The stability of the power system is an important factor in the operation of any electric system. A PID controller with a power system stabilizer (PSS) has been developed to maintain the stability and enhance the performance ...

A multimodel controller design procedure combined with gain scheduling methods is evaluated for a highly nonlinear chemical process. The controller synthesis method is based on a mixed H2/H∞ problem to achieve good quadratic performance and robustness for a multimodel plant description. The performance obtained with the optimal multimodel controller, gain scheduled controllers and conventional ...

This paper proposes a novel adaptive genetic algorithm (AGA) for the multi-objective optimization design of a fractional PID controller and applies it to the control of an active magnetic bearing (AMB) system. Different from PID controllers with three constants, the fractional PID controller’s parameters are composed of proportional constant, integral constant, derivative constant, derivative o...

Microgrids is an new opportunity to reduce the total costs of power generation and supply the energy demands through small-scale power plants such as wind sources, photo voltaic panels, battery banks, fuel cells, etc. Like any power system in micro grid (MG), an unexpected faults or load shifting leads to frequency oscillations. Hence, this paper employs an adaptive fuzzy P-PID controller for f...