The paper presents a method to assure stability of the fuzzy control systems of the second order processes, based on a compensation of the input-output characteristic of the fuzzy blocks used in the PI fuzzy controllers. For this purpose is acting at the correction of the fuzzy control law by the action in parallel of a crisp block. Stability analysis of the control systems of the second order ...

The problem of manipulator control is a highly complex problem of controlling a system which is multi-input, multioutput, non-linear and time variant. In this paper some adaptive fuzzy, and a new hybrid fuzzy control algorithm have been comparatively evaluated through simulations, for manipulator control. The adaptive fuzzy controllers consist of self-organizing, self-tuning, and coarse/fine ad...

Power Factor Correction (PFC) provides well-known benefits to electric power systems. These benefits include power factor correction, poor power factor penalty utility bill reductions, voltage support, release of system capacity, and reduced system losses. The performance of fuzzy logic controller only depends on the selection of membership function and Inference of fuzzy rules, fuzzy logic con...

A systematic approach for fine-tuning fuzzy controllers has been developed and evaluated for an aeration control system implemented in a WWTP. The challenge with the application of fuzzy controllers to WWTPs is simply that they contain many parameters, which need to be adjusted for different WWTP applications. To this end, a methodology based on model simulations is used that employs three stat...

Fuzzy Logic Controllers Lee90] (FLCs) are being widely and successfully applied in diierent areas. Fuzzy Logic Controllers can be considered as knowledge-based systems, incorporating human knowledge into their Knowledge Base through Fuzzy Rules and Fuzzy Membership Functions (among other information elements). The deenition of these Fuzzy Rules and Fuzzy Membership Functions is actually aaected...

1PG Scholar,Vimal Jyothi Engineering College,chemberi,Kannur ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Design of multivariable control system is very essential in the process industries. The four tank system is a benchmark system. So disturbances are essential to analyze the performance of...

This article proposes a Takagi-Sugeno Fuzzy (TSF) controller for vector control method applied in three-phase induction motor control. The conventional vector control method has two PI current controllers. With the aim to reduce the quantity of these controllers, it is proposed a unique fuzzy controller to substitute both PI controllers. The performance of the proposed TSF controller is analyze...

This paper describes how cognitive methods, such as Fuzzy Controllers, Arti cial Neural Networks, and Genetic Algorithms can be integrated together to produce a family of Hybrid Intelligent Controllers, which provide good performance in a variety of complex, real-time and non-linear problems. Two new paradigms are introduced, namely Weighted Radial Basis Functions and Hierarchical Hybrid Fuzzy ...

In this work neural and neuro-fuzzy controllers are developed for the inverters of Uninterruptible Power Supplies (UPS) to improve their transient response and adaptability to various loads. Idealized load-currentfeedback controller is built to obtain example patterns for training the networks. Example patterns under various loading conditions are used in the off-line training of the selected n...