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In this paper we present a robust controller based on Takagi-Sugeno (T-S) fuzzy model. First, we obtain the nonlinear state equation of the underactuated robot systems by linearization, then, the parallel distributed compensation scheme (PDC) is applied to design the controller. Simulation results show the robustness of the pendubot control system against the disturbance.
Optimal power flow (OPF) is known as one of the most important planning and scheduling tools in electrical power systems. The OPF problem is a non-convex, NP-hard optimization problem, therefore, the applications of metaheuristic algorithms in the OPF problem have been gained more attentions in recent years. This article investigates successful application of recently developed optimizer, so called,...
In this paper an improved Mamdani fuzzy sliding mode controller for a reduced-order averaged model of active clamp converter, which is more accurate than the other existing reduced-order models, is presented. The procedure of designing a fuzzy sliding mode controller for an active clamp single-ended primary inductance converter (SEPIC) is described. The Simulation results confirm the performance and...
Intelligent power allocation and load management systems have been playing an increasingly important role in aircrafts whose electrical network systems are getting more and more complex. Load shedding used to be the main means of aircraft power management. But the increasing number of electrical components and the emphasis of safety and human comfort call for more resilient power management. In this...
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