In this work, an auto-tuning procedure for PID controllers is presented. This autotuning procedure identifies a FOPDT model for a given process and uses an evolutionary algorithm to solve a constrained non-convex optimization problem to adjust the parameters of a PID controller with derivative filter. The auto-tuning procedure is validated with a set of process with different characteristics. P...

In this paper, Self Tuning Fuzzy PID controller is developed to improve the performance of the electro-hydraulic actuator. The controller is designed based on the mathematical model of the system which is estimated by using System Identification technique. The model is performed in linear discrete model to obtain a discrete transfer function for the system. Model estimation procedures are done ...

This paper analyzes the structure principle of the actuator simulated loading system with variable stiffness, and establishes the simplified model. What’s more, it also does a research on the application of the self-adaptive tuning of fuzzy PID (Proportion Integration Differentiation) in actuator simulated loading system with variable stiffness. Because the loading system is connected with the ...

In this paper, differential evolution algorithm (DEA), one of the most promising Evolutionary Algorithm’s, was employed to tune a PID controller and to design a set-point filter for unstable and integrating processes with time delay. The proposed cost function used in DEA gives the shortest trajectory with minimum time in the phase plane. The results obtained from the proposed tuning method her...

This paper presents an Automatic Generation Control scheme for multi area power system using integrator and PID controller. The simulation results of four areas are compared using MATLAB/SIMULINK software. Automatic Generation Control is a very important process that operates constantly to balance the generation and load. PID controllers can be tuned by using many methods. In all methods an ini...

This paper presents an application of the intelligent search technique for the parameters optimization of conventional automatic generation control (AGC) systems. An efficient intelligent search technique, which is Adaptive Tabu Search (ATS), is employed to demonstrate the effectiveness of the intelligent search techniques in the tuning of the AGC parameters. A two-area non-reheat thermal syste...

This paper describes a method to design rulebased fuzzy adaptive controllers. The rules are learnt from the observed behaviour of a virtual self-tuning feedback (PID) controller. The designed controller is supposed to support typical control requirements (i.e. fast-following, zero steady state error, overshoot suppression, etc.) using only a small number of rules.

When genetic algorithms (GAs) are applied for PID parameter tuning, since the PID parameters are adjusted almost randomly, it is possible that the plant will be damaged due to abrupt changes in PID parameters. To solve this problem, a neural network will be used to model the plant and the genetic tuning procedure will be performed on the neural network instead of the plant. After determining th...

There are some drawbacks exist in multi-method intelligence control algorithms which are popular researched in motion control. Many of the most significant ones are high algorithm complexity, long timeconsuming and not easily applied in industrial production. According to the disadvantages mentioned above, and also take the conflicts between control accuracy and response speed into consideratio...