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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...
In this paper, a new accelerated method for rapid and smooth transportation of a nonlinear 3D crane is proposed. This method applies the projection of the swing angle in 3-dimensional (3D) space and the vector of remaining distance to the goal to derive the proper control. The inertia theorem is also utilized to design the controller. The usual heuristic method is also derived to evaluate the performance...
Recently, many researchers have devoted themselves to the study of methods of designing controllers for switched nonlinear systems with the use of the switched Takagi-Sugeno (T-S) fuzzy model. The main feature of switched T-S fuzzy models is that they characterize the local dynamics of each fuzzy rule by a linear model. The appeal of the switched T-S fuzzy model in control design is that the stability...
This paper addresses the problem of designing robust static output-feedback controllers for nonlinear discrete-time interval systems with time delays both in states and in control input based on the Takagi-Sugeno fuzzy model. In the approach, we do not directly employ the Lyapunov approach, as do in most of traditional fuzzy control design approaches. Instead, sufficient conditions for guaranteeing...
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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