Digital fuzzy logic controller. Design and implementation Patyra M.J.
Patyra M.J.
Год: 1996
Количество страниц: 21
Язык: Английский
Формат: PDF / RAR
Формат файла: RAR
In this paper, various aspects of digital fuzzy logic controller (FLC) design and implementation are discussed. Classic and improved models of the single-input single-output (SISO), multiple-input single-output (MISO), and multiple-input multiple-output (MIMO) FLC's are analyzed in terms of hardware cost and performance. A set of universal parameters to characterize any hardware realization of digital FLC's is defined. The comparative study of classic and alternative MIMO FLC's is presented as a generalization of other controller configurations. A processing element (PE) for the parallel FLC architecture realizing improved inferencing of MIMO system is designed, characterized, and tested. Finally, as a case feasibility study, a direct data stream (DDS) architecture for complete digital fuzzy controller is shown as an improved solution for high-speed, cost-effective, real-time control applications.
- PIC microcontrollers for beginners, too Matic N.
Circumstances that we find ourselves in today in the field of microcontrollers had their beginnings in the development of technology of integrated circuits This development has made it possible to store hundreds of thousands of transistors into one chip - The design of the PID controller Paz R.
The PID controller enjoys the honor of being the most commonly used dynamic control technique Over 85% of all dynamic (low-level) controllers are of the PID variety The purpose of this report is to provide a brief overview of the PID controller - Iterative feedback tuning of PID parameters. Comparison with classical tuning rules Lequin O.
We apply the Iterative Feedback Tuning (IFT) method to the tuning of PID parameters in applications where the objective is to achieve a fast response to set point changes We compare the performance of these IFT-tuned PID controllers with the performance achieved by four classical PID tuning schemes that are widely used in industry - Self-tuning neural fuzzy control the position of a pneumatic cylinder under vertical load Shih M.C., Luor N.L.
In the paper, a self tuning neural fuzzy controller, which normalization factors are tuning in real-time, is deve-loped and implemented in a microcomputer to control the position of a pneumatic servo cylinder under vertical load Comparing to the conventional control, both the rise time and the steady-state errors of the system time response under the vertical load or the abnormal stop in neural learning can be improved and avoided