This paper proposes the design of a Type‐2 Fuzzy Logic Controller (T2‐FLC) using Genetic Algorithms (GAs). The T2‐FLC was tested with different levels of uncertainty to regulate velocity in a Direct Current (DC) motor. The T2‐FLC was synthesized in Very High Description Language (VHDL) code for a Field‐ programmable Gate Array (FPGA), using the Xilinx System ...

The programmable logic controller (PLC) system is a type of the hybrid systems, which is a widely used safety-critical system in industry. It is regarded that the formal method is a valuable and indispensable way of analyzing and validating the PLC systems. However, which formal methods and how to use the methods are challenges. In this article, we propose a specific formal method of the PLC sy...

This paper presents an adaptive neuro-fuzzy controller ANFIS (Adaptive Neuro-Fuzzy Inference System) for a bilateral teleoperation system based on FPGA (Field Programmable Gate Array). The proposed controller combines the learning capabilities of neural networks with the inference capabilities of fuzzy logic, to adapt with dynamic variations in master and slave robots and to guarantee good prac...

In this article, we present an implementation of a low-memory footprint model predictive control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code generation standardized IEC 61131-3 PLC programming languages is used to solve the MPC's optimization problem online. The designed for its application realistic industrial environment, including timing considerations and...

In this study the electric power generation from the Kayabogazi Dam has been investigated using Fuzzy logic algorithm to optimize the required power demand. In the implementation of the algorithm the real data recorded by the State Water Works (DSI) which is representing monthly average water flow to the Kayabogazi Dam has been used. An easy and operator friendly control algorithm has been deve...

This paper focuses on the Field Programmable Gate Array (FPGA) design and implementation of intelligent control system applications on a chip, specifically fuzzy logic and genetic algorithm processing units. Initially, an overview of the FPGA technology is presented, followed by design methodologies, development tools and the use of hardware description languages (HDL). Two FPGA design examples...

This paper presents a method of maximum power point tracking, MPPT using adaptive fuzzy logic control for grid connected photovoltaic system. The system composed of photovoltaic module, boost converter and the fuzzy logic controller. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of MOSFET switch of boost converter. The complete simulation resul...

This paper presents a method of maximum power point tracking, MPPT using adaptive fuzzy logic control for grid connected photovoltaic system. The system composed of photovoltaic module, boost converter and the fuzzy logic controller. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of MOSFET switch of boost converter. The complete simulation resul...

This paper presents a design approach intended for the modeling and synthesis of discrete-event modules of hybrid controllers by combining a model of computation and a soft computing synthesis approach. The model of computation is based on coloured Petri nets (CPNs) and the soft computing method uses fuzzy logic. The design approach converts Petri net models into their equivalent fuzzy sets for...