Implementasi Kendali Tuning Proportional Integral Derivative (PID) Pada Magnetic Levitation Ball Hybrid Fuzzy-Takagi Sugeno

Fuzzy Pid Control Via Modified Takagi-Sugeno Rules

We present a novel simplest fuzzy PID controller using a modified Takagi – Sugeno (TS) rule base. Mathematical model of the controller is derived and analyzed. The unique features of the controller are: (i) the consequent part of the rule base is closely related to the rule base of Mamdani type controller, and (ii) the proportional, integral and derivative gains vary as the output of the system...

Reconfigurable Networked Fuzzy Takagi Sugeno Control for Magnetic Levitation Case Study

Nowadays dynamic behavior performed by a computer network system can be modeled from the perspective of a control system. One strategy to be followed it is the real-time modeling of the magnetic levitation system. From this way of representation of a computer network system, next stage is how control approach can be affected and modified. In that respect, this paper proposes a control reconfigu...

Offline Auto-Tuning of a PID Controller Using Extended Classifier System (XCS) Algorithm

Proportional + Integral + Derivative (PID) controllers are widely used in engineering applications such that more than half of the industrial controllers are PID controllers. There are many methods for tuning the PID parameters in the literature. In this paper an intelligent technique based on eXtended Classifier System (XCS) is presented to tune the PID controller parameters. The PID controlle...

Observers for Takagi-Sugeno fuzzy systems

We focus on the analysis and design of two different sliding mode observers for dynamic Takagi-Sugeno (TS) fuzzy systems. A nonlinear system of this class is composed of multiple affine local linear models that are smoothly interpolated by weighting functions resulting from a fuzzy partitioning of the state space of a given nonlinear system subject to observation. The Takagi-Sugeno fuzzy system...

Takagi-Sugeno Fuzzy Modeling for Process Control