The parameters setting of fuzzy controller is realised by means of the rules, of the inference methods, of the membership functions layout and especially of the universe ranges. The optimisation of fuzzy controllers parameters may be more complicated process than for classical ones, because the fuzzy controller, as non-linear, has seemingly more degrees of freedom. However its exploitation is o...

This paper presents the design and implementation of an adaptive fuzzy logic controller for the speed control of brushless dc motors. The proposed system uses an adaptation of the slope of the membership functions of the variables used in the conventional fuzzy controller based on the magnitude of the error. A simulation analysis of the fuzzy controller and the adaptive fuzzy controller are don...

This paper proposes a Time Delay nonlinear dynamic model of HIV-1 (Human Immunodeficiency Virus type 1), introducing the drug consumption efficiencies as the controlling input for the model. The paper also represents the fuzzy T-S representation and the corresponding Fuzzy T-S controller. The controller parameters are tuned using LMIs (Linear Matrix Inequalities). The main focus is on the stabi...

this paper proposes a simple but efficient technique to control 3d overhead crane. load musttrack a desired path and not sway more than a reasonable range.the proposed method uses pidcontrol for trolley to track the desired path and fuzzy control compensation to eliminate the loadswing. only the projection of swing angle is applied to design the fuzzy controller. no plantinformation of crane is...

To research the chaotic motion problem of direct-drive permanent magnet synchronous generator (D-PMSG) for a wind turbine with uncertain parameters and fractional order characteristics, control strategy established upon fuzzy state feedback is proposed. Firstly, according to working mechanism D-PMSG, Lorenz nonlinear mathematical model by affine transformation time transformation. Secondly, sys...

Induction motors (IMs) are widely used in many industrial applications due to their robustness, low cost, simplicity and relative good efficiency. One of the major considerations for IMs is their speed control. PI (proportional-integrator) controllers are usually used as speed controller. Adjusting the gain of PI controller is time-consuming which needs thorough considerations. Hence, fuzzy con...

This paper addresses the fault detection of a cracked cantilever beam using a hybrid artificial intelligence technique. The hybrid technique used here uses a fuzzy-neuro controller. The fuzzy-neuro controller has two parts. The first part is comprised of the fuzzy controller, and the second part is comprised of the neural controller. The input parameters of the fuzzy controller are relative dev...

one of the most important challenges in nonlinear, multi-input multi-output (mimo) and time variant systems (e.g., robot manipulator) is designing a controller with acceptable performance. this paper focused on design a new artificial non linear controller with on line tunable gain applied in the robot manipulator. the sliding mode fuzzy controller (smfc) was designed as 7 rules mamdani’s infer...

In this paper, we design fuzzy sliding mode controller by real-value genetic algorithms. In the process of designing the proposed controller, we firstly employ the sliding mode control technique to design the fuzzy rules, so that the fuzzy controller has the characteristics of stability and robustness. Next, we adopt the Takagi-Sugeno’s fuzzy mode to construct the fuzzy control rules and to obt...

This paper discusses an observer-based fuzzy control problem for uncertain nonlinear singular systems under Multi-Performance Requirements (MPRs). The approach used in the is to model system using a Takagi–Sugeno (T-S) that can be analyzed linear theories. proposed scheme based on Parallel Distributed Compensation (PDC) and Proportional Derivative (PD) scheme. goal design controller achieves st...