In this paper, the proposed observer-based robust adaptive fuzzy sliding mode control scheme can deal with the problem of robust stability for a class of uncertain multi-input multi-output (MIMO) nonlinear systems whose states are not available. The fuzzy basis function is used to approximate an unknown nonlinear function according to some adaptive laws, and then the state observer is designed for estimating the states of the plant, upon which a adaptive fuzzy sliding mode controller is investigated. Based on the Lyapunov stability theorem and the theory of variable structure control, the proposed robust adaptive fuzzy sliding mode control scheme can guarantee the robust stability of the whole closed-loop system and obtain good tracking performance. Finally, the simulation results are carried out on a two-link robot manipulator to illustrate the performance of the proposed approach.

Observer-Based Adaptive Fuzzy Sliding Mode Control of Uncertain Multiple-Input Multiple-Output Nonlinear Systems

The paper discusses about the application of PID controller and fuzzy controller in reactive distillation column. A generic mathematical model of reactive distillation has been taken for simulation. The PID and fuzzy controllers are designed for the process and then the overall process is controlled by using conventional (PID) and intelligent (fuzzy) controllers separately. Conventional PID controller is used to control the temperature of the column and then it is replaced by fuzzy controller and then the results from both the controllers are compared.

Simulation and control of reactive distillation column

Influence of Fuzzy Logic Based Controller on Stability of Isolated Termo Power System Considering Generation Rate Constaint

The stability analysis of a system with single input single output (SISO) fuzzy controller is described. The given example uses describing functions to represent known nonlinearity in the system and linear systems stability analysis method and comparison to check the stability of the system with fuzzy controller

O. KuIjaca

Papers

Stability analysis of SISO fuzzy controller