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A novel control topology of adaptive network-based fuzzy inference system (ANFIS) for control of the dc-dc converter is developed and presented in this paper. It essentially consists of combining fuzzy inference system and neural networks and implementing within the framework of adaptive networks. The architecture of the ANFIS along with the learning rule,(More)
This paper presents an integrated environment for the rapid prototyping of a robust fuzzy proportional-integral-derivative (PID) controller that allows rapid realization of novel designs. Both the design of the fuzzy PID controller and its integration with the classical PID in a global control system are developed. The architecture of the fuzzy PID(More)
This paper presents a complete and integrated environment for rapid prototyping of robust proportional-integral-derivative (PID) fuzzy controller that allows rapid realization of novel designs. The architecture of the proposed controller is basically composed of three independent fuzzy sub-controllers. Then, the three sub-controllers are combined together(More)
This paper presents a successful implementation of a fuzzy logic controller structure for dc-dc switching converters and evaluates experimentally its sensitivity for variable supply voltages and load resistance variations. The optimum topology of the controller structure is determined using experimental tests. An advanced test bed system is used to evaluate(More)
This paper presents a real-time implementation of a genetic-based hybrid fuzzy-proportional-integral-derivative (PID) controller for industrial motor drives. Both the design of fuzzy-PID (FPID) controller and its integration with the conventional PID in global control system to produce a hybrid design are demonstrated. A genetic optimization technique is(More)
An embedded hybrid Hinfin adaptive fuzzy control structure is implemented for trajectory tracking control of a brushless servo drive system. The control structure employs a fuzzy logic controller incorporating an Hinfin tracking controller via an acceleration feedback signal. The fuzzy logic controller is equipped with an adaptive-law-based Lyapunov(More)
This paper presents a successful implementation of a fuzzy logic controller structure for switch-mode power-stage dc-dc converters and evaluates experimentally its sensitivity for variable supply voltages and load resistance variations. The optimum topology of the controller structure is determined using experimental tests. An advanced test-bed system is(More)
This paper presents a real-time implementation of a genetic-based hybrid fuzzy-PID controller for industrial motor drives. Both the design of fuzzy-PID controller and its integration with the conventional PID in global control system to produce a hybrid design is demonstrated. A genetic optimization technique is used to determine the optimal values of the(More)
In this paper, a multilayer fuzzy logic controller (MLFC) is proposed for the stability enhancement of the electric power system making use of a dynamic braking strategy. The proposed controller has two layers. The first layer, termed the supervisory layer, specifies the region of operation of the subcontrollers (SCs) within the second layer, called the(More)
An embedded hybrid adaptive fuzzy control structure is implemented for trajectory tracking control of a brushless servo drive system (BSDS). The control structure employs a fuzzy logic controller incorporating an H/sub /spl infin// tracking controller via an actual acceleration feedback signal. The fuzzy logic controller is equipped with an adaptive(More)