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This paper introduces an approach for the design of an adaptive non-linear digital Fuzzy logic controller for a digital controlled auto-adjustable Buck DC-DC converter, which is validated by Simulink tools of Matlab. The setup time of the output voltage was about 10μs and the steady state error was less than 2mV with the proposed controller. When the supply voltage or load current was disturbed, the...
This paper presents a modeling and design methodology to reduce and even to eliminate flexible ribbon cable seek-settling induced vibrations in modern high capacity computer disk drives. Optimization is first conducted in obtaining proper cable profiles when the rotary actuator swings across the disk using classical elastica theory with consideration of compliant boundary at its J-block conjunction...
This paper presents the analysis and design of a sliding mode controller for buck converters operating in discontinuous conduction mode. An adaptive hysteresis band control scheme is proposed to tightly regulate the output voltage under line and load variations. The proposed method can be employed for other dc-dc converters, and therefore the operation range of sliding mode controllers for dc-dc converters...
An enhanced adaptive sliding mode fuzzy approach is applied to control the position and load swing of a 3D overhead crane system. The merits of this method include the robustness and model free properties of the sliding mode and fuzzy logic controllers, respectively. An adaptable slope of sliding surface is presented and the chattering phenomenon of sliding mode control is also discussed to enhance...
Instead of the current control methods, this paper provides a fuzzy based scheme to control the overhead crane. The proposed method does not require the complex mathematical model of overhead crane, but uses the trolley position and the load swing information to design the fuzzy controller. The rules are based on the heuristics of the experienced crane operators and follow the concepts of sliding...
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