A hybrid model is designed by combining the genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic to determine the optimal parameters of a proportional-integralderivative (PID) controller. Our approach used the rule base of the Sugeno fuzzy system and fuzzy PID controller of the automatic voltage regulator (AVR) to improve the system sensitive response. Th...

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...

An approach is proposed to tune the parameters of a mixed H2/H∞ PID controller via particle swarm optimization. The main target is to find a suitable controller that minimizes the performance index of error signal under the robust stability and robust performance conditions. Different types of performance indexes are used to have optimal PID controller such as IAE, ISE, and ITAE. In this paper,...

This study introduces the fuzzy Lyapunov function to the fuzzy PID control systems, modified fuzzy systems, with an optimized robust tracking performance. We propose a compound search strategy called conditional linear matrix inequality (CLMI) approach which was composed of the proposed improved random optimal algorithm (IROA) concatenated with the simplex method to solve the linear matrix ineq...

In this paper, a new model-based proportional–integral–derivative (PID) tuning and controller approach is introduced for Hammerstein systems that are identified on the basis of the observational input/output data. The nonlinear static function in the Hammerstein system is modelled using a B-spline neural network. The control signal is composed of a PID controller, together with a correction ter...

This paper describes a coding control scheme for MPEG-2 which maintains the perceived video quality constant, and is suitable for real-time and low latency encoding. We have chosen a Proportional Integral Derivative (PID) scheme for the controller similarly to the works presented in 1,2 , and we adopt the same approach in designing the particular PID feedback function. The main reason for using...

In this paper, a new improved Differential Search Algorithm optimization approach is proposed and successfully applied to the design and tuning of a PID-type Fuzzy Logic Controller. The scaling factors tuning problem of the Fuzzy Logic Controller structure is formulated and systematically resolved, using the improved constrained Differential Search Algorithm-based method. A comparison, with the...

This paper proposes a genetic algorithm based method to tune the parameters of a proportional plus integral plus derivative (PID) power system stabilizer (PSS). A classical parameter optimization approach is integrated within the genetic search process. To assess the quality of system dynamic performance a quadratic performance index is adopted within the tuning process. To enhance the overall ...