Interacting The highest storage capacity of a circular tank makes it popular in process industries. Because the varying surface area cross-sections tank, this two-tank level system has nonlinear characteristics. Controlling flow rate liquid is one most difficult challenges production process. This proposed effort critical preventing time delays and errors by managing fluid level. Several schola...

A hybrid control scheme of Sugeno Fuzzy PD-like System (SFPDS) and PID controller is introduced in this work. The idea of the proposed strategy is to manipulate the control error signal in two stages: the SFPDS first, and then the PID. The manipulated signal is finally provided as a control action to the system. The proposed control strategy aims at combining the benefits of utilizing the artif...

Today, DC motors is still being used globally due to their easy speed controllability. In this article, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is designed for DC motors. The main purpose of performing such task is to reduce the DC motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, ...

This work is an attempt to illustrate the usage and effectiveness of soft computing techniques in the estimation and control of multi input and multi output systems. This paper focuses on neuro-fuzzy system ANFIS (Adaptive Neuro Fuzzy Inference system). An Adaptive Network based Fuzzy Interference System architecture extended to cope with multivariable systems has been used. The performance of ...

In this work a comparison among three control strategies is presented, with application to multi-articulated system. The proposed scheme based on the dynamic model derived using LagrangeEuler formulation. Our robot manipulator ANFIS system control’s simulated in Matlab Simulink environment; results obtained present efficiency and robustness of good performances compared PID FIS method.