In this paper, speed control of asynchronous machine fed by a photovoltaic (PV) generator based on a direct proportional and integral controller and an adaptive fuzzy logic controller (AFLC) is presented. Also In this study, it is proposed that the PV output voltage is varies between certain cut in and cut off values that to extract maximum power during different insolation values instead of op...

This paper presents an adaptive control to stabilize the output voltage of a DC–DC boost converter that feeds unknown constant power load (CPL). The proposed controller employs passivity-based (PBC), which assigns desired system energy compensate for negative impedance may be generated by CPL. A proportional-integral (PI) action maintains passive is added PBC impose damping and enhance disturba...

Quadrotor control has been noted for its trouble as the consequence of the high maneuverability, system nonlinearity and strongly coupled multivariable. This paper deals with the simulation depend on proposed controller of a quadrotor that can overcome this trouble. The mathematical model of quadrotor is determined using a Newton-Euler formulation. Fractional Order Proportional Integral Derivat...

Nonlinearity is the inherent characteristics of all the industrial processes. The Classical control approach used for a generation often fails to show better results particularly for non-linear systems and in the systems, whose parameters changes over a period of time for a variety of reasons. Alternatively, adaptive control strategies provide very good performance. The Model Reference Adaptive...

in the face of limited water resources, better utilization and operation of irrigation networks is essential. use of control systems is considered as one of the most assured ways to achieve the aim. in the course of the present study, two centralized controllers are applied to the west canal of aghili irrigation district in i. r. iran. the proposed control algorithms consist of a distant downst...

In this paper, a Proportional-Derivative and Integral (PD-I) type Fuzzy-Neural Network Controller (FNNC) based on Sugeno fuzzy model is proposed for brushless DC drives to achieve satisfied performance under steady state and transient conditions. The proposed FNNC uses the speed error, change of error and the error integral as inputs. While the PD-FNNC is activated in transient states, the PI-F...

Introduction: As a representative active queue management (AQM) scheme, random exponential marking (REM) [1] faces the challenge of dynamically tuning its parameters to satisfy the stability requirement under various network conditions adaptive to network conditions [2, 3]. In [4], Deng et al. proposed an adaptive control mechanism for the proportional and integral (PI) controller based AQM (PI...

Many challenges exist for the efficient and safe operation of wind turbines due to the difficulty in creating accurate models of their dynamic characteristics and the turbulent conditions in which they operate. A promising new area of wind turbine research is the application of adaptive control techniques, which are well suited to problems where the plant model is not well known and the plant o...

The Conventional control approach may not be suitable for non-linear systems and for the systems with considerable parameter variations over a period of time. On the other hand adaptive control techniques proved to be a convenient tool in dealing with the above said systems. The Model Reference Adaptive Systems (MRAS) with performance specifications given in terms of reference model is tried fo...

in this paper, an adaptive attitude control algorithm is developed based on neural network for a satellite using four reaction wheels in a tetrahedron configuration. then, an attitude control based on feedback linearization control has been designed and uncertainties in the moment of inertia matrix and disturbances torque have been considered. in order to eliminate the effect of these uncertain...