in this paper, a novel approach for control of the dc-dc buck converter in high-power and low-voltage applications is proposed. designed method is developed according to state feedback linearization based controller , which is able to stabilize output voltage in a wide range of operation. it is clear that in high-power applications, parasitic elements of the converter may become comparable with...

This paper describes the modeling and control of a proportional-injector direct-injection monopropellant powered actuator for use in power-autonomous human-scale mobile robots. The development and use of proportional (as opposed to solenoid) injection valves enables a continuous and unified input/output description of the device, and therefore enables the development and implementation of a sli...

After enhancing Takagi-Sugeno (T-S) fuzzy methods, we propose an observer-based integral fuzzy controller to deal with the output regulation for DC-isolated flyback converters without current sensors. The integral control has a great advantage for maintaining zero steady-state error in constant disturbances. This is especially suitable for the converter systems, where the output voltage regulat...

By integrating the stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), an integrative computational method is presented in this paper to design the stable and quadratic-optimal static output feedback parallel-distributed-compensation (PDC) controller such that (i) the TakagiSugeno (TS) fuzzy-model-based control system can be stabil...

The problem of robust H∞ fuzzy state feedback and dynamic output feedback control for uncertain fuzzy descriptor systems is discussed. In the case that time-varying uncertainties are in all parameter matrices except E, sufficient conditions for the existence of fuzzy state feedback and dynamic output feedback robust H∞ controllers are given in terms of LMI. The fuzzy state feedback control law ...

Proportional-integral-derivative (PID) controller is the most widely used in industry due to its simplicity and performance characteristics. However, a number of processes with time-variant or nonlinear characteristics are difficult to be handled with a conventional PID controller. To address this problem, an enhanced PID controller exhibiting improved performance than the conventional linear f...

In this paper, an observer-based direct adaptive fuzzy-neural network (FNN) controller with supervisory mode for a certain class of high order unknown nonlinear dynamical system is presented. The direct adaptive control (DAC) has the advantage of less design effort by not using FNN to model the plant. By using an observer-based output feedback control law and adaptive law, the free parameters o...

The design of Automatic Generation Control (AGC) system plays a vital role in automation of power system. This paper proposes Hybrid Neuro Fuzzy (HNF) approach for AGC of two-area interconnected reheat thermal power system with the consideration of Generation Rate Constraint (GRC). The advantage of proposed controller is that it can handle the system non-linearities and at the same time the pro...