An industrial weigh belt feeder is used to transport solid materials into a manufacturing process at a constant feedrate. It exhibits nonlinear behavior because of motor friction, saturation, and quantization noise in the sensors, which makes standard autotuning methods difficult to implement. This paper proposes and experimentally demonstrates two types of fuzzy logic controllers for an indust...

A novel reconfigurable membership function circuit (RMFC) for analog fuzzy logic controller (FLC) is presented. The reconfigurable characteristic makes it more suitable in industrial control applications when compared with the MFC proposed in [1]. By proper signal arrangement, the RMFC can re-sample the same input current in different configuration, which reduces the number of MFC in analog FLC...

Most previous work about the hardware design of a fuzzy logic controller (FLC) intended to either improve its inference performance for real-time applications or to reduce its hardware cost. To our knowledge, there has been no attempt to design a hardware FLC that can perform an adaptive fuzzy inference for the applications of on-line adaptation. The purpose of this paper is to present such an ...

This paper presents the design and experimental implementation of a Fuzzy logic controller (FLC) for a DC servomotor speed and position control. The motivation to utilize the FLC is its robustness against model's parameters inaccuracy and uncertainty. The implementation of the FLC algorithm is carried out by a low cost 8-bit microcontroller instead of using expensive general purpose microproces...

Neuro-fuzzy approaches are developed, in the present work, to determine time-optimal, collision-free path of a car-like mobile robot navigating in a dynamic environment. A fuzzy logic controller (FLC) is used to control the robot and the performance of the FLC is improved by using three different neuro-fuzzy (NN-FLC) approaches. The performances of these neuro-fuzzy approaches are compared amon...

This study investigates the development of a Fuzzy Logic Controller (FLC) for tracking sinusoidal wave trajectory and suppressing vibration Two Link Flexible Manipulator (TLFM). The TLFM was modeled using Lagrange's formalism Assumed Mode Method (AMM). A three-part apparatus consisting mathematical model, real-world TLFM, control software designed implemented. FLC applied to both simulated TLFM...

This paper reviews the development of fuzzy systems and the problem of time delay control in nonlinear systems. Based on this review, a fuzzy Lyapunov method defined in fuzzy blending quadratic Lyapunov functions is proposed from which to derive stability conditions. In the controller procedure, a parallel distributed compensation (PDC) scheme is utilized to construct a global fuzzy logic contr...

During recent years considerable efforts have been devoted to guarantee the stability of fuzzy logic control (FLC). Several stability analysis methods have been established, and stable control designs have been introduced. This is important to pave the way for the use of FLC in applications were no risks should be run. Aerospace is a clear example of a field where control must be sure. This pap...

In this study, the performance of a high-frequency arc welding machine including a two-switch inverter is analyzed. The control of the system is achieved using two different control techniques ifuzzy logic control (FLC) iistate space averaging based sliding control. Fuzzy logic control does not need accurate mathematical model of a plant and can be used in nonlinear applications. The second met...

Since last two decade a substantial amount of research has reported in the field of control of non-linear dynamical system using fuzzy logic[1]. The work presents in this paper water bath temperature control system which is most widely used process in the process industry. Water bath conventional controllers are derived from control theory techniques to be controlled. The purpose of the feedbac...