Development and Control of an upper Limb Rehabilitation Robot via Ant Colony Optimization -PID and Fuzzy-PID Controllers

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Optimal Fuzzy Supervised PID Controller using Ant Colony Optimization Algorithm

PID controllers are the well known and most widely used controllers in the industries. The reason behind this is because of its simple structure and reliability. Nonetheless when the plant to be controlled is highly non linear or is subjected to disturbances or we have less knowledge about it, under these conditions poor performance is obtained when we are using fixed parameter PID as controlle...

Optimal Tuning of PID Controllers for Hydrothermal Load Frequency Control Using Ant Colony Optimization

This paper proposes a novel Artificial Intelligence technique known as Ant Colony Optimization (ACO) for optimal tuning of PID controllers for load frequency control. The design algorithm is applied to a hydrothermal power system consisting of two control areas one hydro and the other is thermal with reheat stage. To make the system in realistic form, the system nonlinearities represented by Ge...

Tuning Fuzzy PID Controllers

After the development of fuzzy logic, an important application of it was developed in control systems and it is known as fuzzy PID controllers. They represent interest in order to be applied in practical applications instead of the linear PID controllers, in the feedback control of a variety of processes, due to their advantages imposed by the non-linear behavior. The design of fuzzy PID contro...

Fuzzy precompensated PID controllers

AbstructWhile proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, we propose a fuzzy logic-based precompensation approach for PID controllers. We demonstrate the performance of our scheme via experiments...