ABSTRACT: This paper focuses on design of nonlinear power plant controller using immune based multiobjective fuzzy approach. The thermal power plant is typically regulated by the fuel flow rate, the spray flow rate, and the gas recirculation flow rate. However, Strictly maintaining the steam temperature can be difficult due to heating value variation to the fuel source, time delay changes in th...

The proportional-integral-derivative (PID) controller is the most popular controller used in almost all process industries till date. Earlier it was first implemented in pneumatic devices but now its use is extended to analog as well as digital electronics. The presence of time delay in the system affects the stability and performance of the system. In this paper an IMC-PID controller is design...

Combustion control of an industrial stoker-"red boiler is to provide a continuous supply of steam at the desired condition of pressure. Because no e$cient mathematical model of the stoker-"red boiler is available, it would be very hard to design its controller by using any traditional model-based method. Therefore, the most widely used controller for the boiler system is a conventional PID-type...

An observer based adaptive PID controller with micro genetic algorithm (MGA) tuning its parameters is proposed in this paper. The task of the controller is to track the desired trajectory of a nonlinear system as best as it could. The proposed adaptive PID controller consists of 3 components including the PID controller, the control compensating for the external disturbance and the modeling err...

This paper illustrates the benefits of a self-tuning PID strategy applied to a proton exchange membrane fuel cell system. Controller parameters are updated on-line, at each sampling time, based on an instantaneous linearization of an artificial neural network model of the process and a General Minimum Variance control law. The self-tuning PID scheme allows managing nonlinear behaviors of the sy...

In this paper we present the design and performance analysis of a Proportional Integral Derivate (PID) controller for the Autonomous Power system model using Differential Evolutionary Algorithm (DEA) for optimization of different parameter that can be tuned to improve the performance of the system studied. Differential evolutionary algorithm is a branch of evolutionary algorithm which is quiet ...

In this article, Load Frequency Control (LFC) of three area unequal interconnected thermal, wind and Hydro power generating units has been developed with ProportionalIntegral (PI) controller under MATLAB/SIMULINK environment. Further, the PI controller gains values that optimized using trial and error method with two different objective functions, namely the Integral Time Square Error (ITSE) an...

This paper presents an application of the artificial intelligent search technique to find parameters optimization of power system stabilizer (PSS) considering proportional-integral-derivative controller (PID) for a multi-machine power system. Gain settings of PID PSS which improve damping frequency of system are optimized by minimizing an objective function using the artificial intelligent sear...

The main purpose of this paper is to design an optimal PID controller for frequency stabilization in an isolated wind-diesel power system. Optimal tuning of PID controller, formulated as an optimization problem and solved using Krill Herd (KH) algorithm. In order to prove the performance of proposed method, simulation carried out in four cases, step change in load of diesel side, step change in...

In considering nonlinearity and uncertainty in the large erecting system, a fuzzy adaptive PID controller is introduced to improve the control performance. The mathematic model is constructed at first based on the physical laws. Then, the fuzzy logic algorithm which can regulate PID parameters on-line is designed and fuzzy inference rules are established between the PID parameters and the error...