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In this paper, design methods of general fuzzy systems as function approximators are given respectively by the following three different conditions to be approximated: 1. The formulas of the functions are known; 2. The formulas of the functions are unknown, but for any input of the functions, we can get the corresponding output; 3. We only know limit pairs of input-output data of the functions. Finally,...
Based on analysis of influences of fuzzy control and PI method on control systems, a parameter adjusting fuzzy PI method for multi-variable coupling systems is presented. Two independent fuzzy controllers are used to identify proportional coefficient incrementalΔKp and integral coefficient incremental ΔKi, which achieves good results of dynamic performance. Each controller is designed independently,...
This paper describes the dynamical uncertain systems by the Takagi-Sugeno (T-S) fuzzy dynamic model, and proposes a LMI design method of the robust fuzzy sliding mode observer by applying the robust sliding-mode observer design principle based on the singular value decomposition. Firstly, the Lyapunov function is used as the critical condition which ensures the consistent convergence of the designed...
For the multi-motor synchronous control system has time delay and stochastic disturbance and uncertainty model factors, this paper proposed a fuzzy Smith controller which combined Smith pre-estimate control and fuzzy PID control, introducing the structure, the design method of the speed controller and modeling of the control system. Matlab toolboxes are used to simulate the multi-motor synchronous...
We develop a layered argumentation system (LAS) for efficient implementation of Fuzzy automation controllers. LAS extends a logic based proposal of argumentation with subsumption concept and varying degree of confidences in beliefs. We show that this argumentation system can be used to model Fuzzy automation controllers. The argumentation system is based on a nonmonotonic logic, the computational...
This paper presents an adaptive fuzzy controller for the robust backstepping control of a class of uncertain nonlinear systems in pure-feedback form. The proposed approach incorporates the Nussbaum gain function (NGF) and the dynamic surface control (DSC) into the existing adaptive fuzzy control scheme. The major features of the proposed method are that: 1) the two problems, control directions and...
This paper presents a direct adaptive fuzzy control scheme for a class of uncertain single-input single-output nonlinear systems subject to input amplitude and rate saturation constraints. The fuzzy controller is designed to mimic an ideal controller which is assumed guarantying the control objective. The free parameters of the fuzzy controller are adjusted by an adaptive law which prevents the presence...
This paper deals with modeling and design of reliable controller for a new type diaphragm pump. Because of parameter uncertainties and nonlinear dynamics of the pump model, a fuzzy-like PID controller is designed. The controller design is based on fuzzy Lyapunov synthesis and stability and the robustness analysis of the designed system are straightforward. The pump control system is driven by a digital...
The power absorbed by a wave energy device is depending on the implemented control strategy. Uncertainties in the physical description of the system as well as in the input from irregular waves provide challenges to the control algorithm. In this paper we present a hybrid robust-fuzzy logic controller that allows for addressing the uncertainty in the model as well as the short term tuning of the converter...
This paper presents a short comparison of different existing and proposed wave prediction models, which in turn are used to control wave energy converters (WEC) in irregular waves. The objective of the control action is to increase the energy conversion. The prediction models are compared based on the contribution to the prediction of the individual filter weights, in an effort to reduce the filter...
This paper deals with intelligent controller design using artificial neural networks (ANN) in the role of feedback controllers. Neural controllers are built up and trained as inverse neural process models. Their performance and robustness are, gradually, improved and augmented by introducing, first, an adaptive simple integrator and, then, a controller with fuzzy integrator part. The proposed ANN...
This paper introduces an indirect variable-structure adaptive fuzzy controller as a power system stabilizer (IDVSFPSS) used to damp inter-area modes of oscillation following disturbances in power systems. In contrast to IEEE standard multi-band power system stabilizer (MB-PSS) , indirect adaptive fuzzy-based stabilizer are more efficient because they cope with oscillations at different operating points...
Our purpose is to compare the performance of the IEEE standard multi-band power system stabilizer to that of a proposed self-tuned fuzzy stabilizer. The comparison is based on a bench mark system that consists of a 4-machine two-area power system. The objective is to damp local- and inter-area modes of oscillations that appear following large disturbances. The proposed stabilizer is hierarchical....
In order to adjust temperatures of superheating sections in Benson type once-through boilers, in this paper, a combined feedback-feedforward (FB-FF) fuzzy logic control strategy is employed. The feedforward (FF) control system is able to respond, in advance, to any variation in the system by adjusting the rate of spray in superheating sections. Two local fuzzy logic controllers cooperate with FF controller...
This paper addresses fault detection and isolation (FDI) problem using a sliding mode fuzzy observer on the basis of a uncertain Takagi-Sugeno (T-S) fuzzy model. First, a robust fuzzy observer with respect to the uncertainties is designed. The convergence of the fuzzy observer is performed by the search of suitable Lyapunov matrices. It is shown how to synthesis observers using a set of linear matrix...
In this paper, Hinfin fuzzy controller design based on fuzzy observer for active vehicle suspension is studied. After giving the nonlinear model of the active suspension, its representation by a T-S uncertain fuzzy model is discussed. The control strategy uses the Hinfin controller based on observer to estimate state with reject road disturbance. The closed loop stability conditions of the vehicle...
In this paper, the design of a backstepping adaptive fuzzy controller for induction machine is addressed. The backstepping has been adopted to exploit the field oriented control scheme and to use only one control channel. Thus, the true and virtual control signals have been synthesized, using two adaptive fuzzy systems, to overcome the constraint on the well knowledge of the machine parameters. These...
In this paper, a new active FTC strategy is proposed. First, it is developed in the context of linear systems and then it is extended to Takagi-Sugeno fuzzy systems. The key contribution of the proposed approach is an integrated FTC design procedure of the fault identification and fault-tolerant control schemes. Fault identification is based on the use of an observer. While, the FTC controller is...
Singular systems have been the subject of interest over the last two decades due to their many practical applications. But it has to be said that system identification of such system is still a challenging area because of the difficulty of identification of such systems for their complex structures. In addition, it seems that by developing a useful method for identification of singular system, one...
The problem of robust trajectory tracking control, with a guaranteed Hinfin performance, for constrained manipulator systems subject to uncertainties and external disturbances is solved in this paper. A control strategy is developed based on the robot mathematical model and an adaptive fuzzy approach. The adaptive fuzzy control law is based on Takagi-Sugeno model, which is proposed to estimate the...
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