A fuzzy control design method for four-wheel-steering vehicles, using fuzzy models, is presented. The design model is obtained from a vehicle model using fuzzy modeling approach. In the first step of the controller design, an optimal steering controller is proposed for each local model using LQR method. Then, the local controllers are combined using fuzzy rules to form a fuzzy controller. In th...

In this paper, we develop a hybrid state-space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems. Takagi–Sugeno (TS) fuzzy model is used to model the chaotic dynamic system and the extended paralleldistributed compensation technique is proposed and formulated for designing the fuzzy model-based controller under stability conditions. The optimal regional...

This paper presents an algorithm to track an industrial robot hand during its movement. Based on acquired image and knowing the robot hand model, the pose is obtained. This information is used to move a pan-tilt camera and keep the robot hand centered in the image every time using an adaptive fuzzy logic controlled. This control law is used combined with a position prediction technique to impro...

This work considers the problem of controlling multiple nonholonomic vehicles so that they converge to a scent source without colliding with each other. Since the control is to be implemented on simple &bit microcontrollers, fuzzy control rules are used to simplify a linear quadratic regulator control design. The inputs to the fuzzy controllers for each vehicle q e the (noisy) direction to the ...

A fuzzy simulation-based optimization approach FSOA is developed for identifying optimal design of a benzene-contaminated groundwater remediation system under uncertainty. FSOA integrates remediation processes i.e., biodegradation and pump-and-treat , fuzzy simulation, and fuzzy-mean-value-based optimization technique into a general management framework. This approach offers the advantages of 1...

The design methods of fuzzy logic controls (FLC's) based genetic algorithms (GA's) are used to get an optimized and additional control signal to the high voltage direct current (HVDC) systems, through genetic algorithms. The optimal values for the gain factors associated with each of the two fuzzy logic controller inputs and its output is achieved without changing the membership functions or th...

This paper concerns the design of robust control systems using sliding-mode control that incorporates a fuzzy tuning technique. The control law superposes equivalent control, switching control, and fuzzy control. An equivalent control law is first designed using pole placement. Switching control is then added to guarantee that the state reaches the sliding mode in the presence of parameter and ...

This paper deals with the synthesis of fuzzy state feedback controller of induction motor with optimal performance. First, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate a non linear system in the synchronous d-q frame rotating with electromagnetic field-oriented. Next, a fuzzy controller is designed to stabilise the induction motor and guaranteed a minimum disturbance attenuati...

In this paper fuzzy speed and current controllers are proposed for closed loop speed control of a converter fed dc motor drive. The performance of the fuzzy controlled system is compared with that of P-I controlled system to establish its suitability. The controller is implemented in a 486 based PC, and attempt is made to control the motor from a remote operating point via FM transmitter and re...

The goal of studying the vehicle suspension systems is to reduce the vehicle vibrations which are due to the irregularities of road levels and the fluctuations in the vehicle velocity. These vibrations are transferred to the body and occupants of vehicles through the suspension system. In general, the main function of an active suspension system is to support the vehicle body by reducing the in...