This paper presents an implementation of stable direct adaptive control on nonlinear systems using lyapunov function with fuzzy approach. Stable direct adaptive control law consists of an ideal control, and a sliding mode control. Sliding mode controller is used to ensure the stability of Lyapunov function. Stability of direct adaptive control law is tested on two nonlinear systems. Non linear ...

A neuro-fuzzy adaptive control approach for nonlinear dynamical systems, coupled with unknown dynamics, modeling errors, and various sorts of disturbances, is proposed and used to design a wheel slip regulating controller. The implemented control structure consists of a conventional controller and a neuro-fuzzy network-based feedback controller. The former is provided both to guarantee global a...

Power systems are usually large non-linear systems, which are often subjected to low frequency electromechanical oscillations. Power System Stabilizers (PSSs) are often used as effective and economic means for damping the generators’ electromechanical oscillations and enhance the overall stability of power systems. Power system stabilizers have been applied for several decades in utilities and ...

Abstrae1-Most fuzzy controllers (FCs) for nonlinear second order systems are designed with a two-dimensional phase plane in mind. We show that the performance and the robustness of this kind of FC stems from their property of driving the system into the sliding mode (SM), in which the controlled system is invariant to parameter fluctuations and disturbances. Additionally, the continuous distrib...

This paper presents a particle swarm optimization (PSO)-based neuro-sliding mode controller for the transient stability enhancement of multimachine power systems with unified power flow controller (UPFC). The UPFC is modeled as controllable loads. These controllable parameters are obtained using the sliding mode control (SMC) strategy. A PSO-based single neuron controller is used to adapt the p...

Farzan Rashidi is with the Engineering Research Institute, Tehran, Iran. Mehran Rashidi is with the Hormozgan Regional Electric Co., Bandar-Abbas, Iran. Hamid Monavar is with the Hormozgan Regional Electric Co., Bandar-Abbas, Iran. Abstract—This paper proposes the design of power system stabilizer based on fuzzy logic and the sliding mode controller. The control objective is to enhance the stab...

However, feedback linearization control does not guarantee robustness in the presence of modeling errors. In [3], ∞ H control and sliding mode control was proposed. ∞ H control is a computation expensive method that presents good disturbance attenuation performance. In [4], sliding mode control and PID controller was discussed. In [5], the PID controller was discussed. The PID controller is a s...

A robust control strategy for closed-loop control of hindlimb movement induced by epidural electrical stimulation (EES) of the spinal cord is developed here. The method is based on adaptive fuzzy neuro-sliding mode control (AFNSMC). An AFNSMC is designed for multi-joint extension movement as well as flexion movement. The multi-joint flexion and extension movements are generated by stimulating t...

A fuzzy sliding-mode control with rule adaptation design approach with decoupling method is proposed. It provides a simple way to achieve asymptotic stability by a decoupling method for a class of uncertain nonlinear systems. The adaptive fuzzy sliding-mode control system is composed of a fuzzy controller and a compensation controller. The fuzzy controller is the main rule regulation controller...