This paper presents a comparison of two different adaptive control schemes for improving the performance of a hybrid wind-diesel power system in an islanded microgrid configuration against the baseline controller, IEEE type 1 automatic voltage regulator (AVR). The first scheme uses a model reference adaptive controller (MRAC) with a proportional-integral-derivative (PID) controller tuned by a g...

This paper considers the control problem of switched linear systems with unknown parameters and unknown switching signals. For the considered system, robust model reference adaptive control (MRAC) approach can only guarantee error boundedness under an average dwell time (ADT) condition which is implicit and is difficult to estimate. We propose a variable structure (VS) based adaptive control wi...

In this paper, a planar air-bearing test bed with unmanned aerial vehicles (UAV) was used to microsatellite motion control system. The UAV mock-ups were controlled by four ventilator actuators that imitated the satellite thrusters and provided required acceleration vector in horizontal plane, torque along vertical direction. moved almost without friction due air cushion between surface flat moc...

Abstrac t— This paper propose an Model Reference Adaptive Control (MRAC) for mobile robots for which stability conditions and performance evaluation are given. The proposed control structure combines a feedback linearization model, based on a kinematics nominal model, and a direct neural network-based adaptive dynamics control. The architecture of the dynamic control is based on radial basis fu...

In this article, a robust nonlinear model reference adaptive control (MRAC) is proposed for disturbed linear systems, i.e., systems with parameter uncertainties, and external time-dependent perturbations or unmodeled dynamics matched the input. The law composed of two gains. Such gains allow to counteract effects some ensuring asymptotic convergence tracking error zero, boundedness controller s...

Model Reference Adaptive Control (MRAC) is consists of a reference model, a plant model, and adaptive law. It is made to follow the target system to the reference model by fixed gain. As study example, Yang developed an adaptive control for SISO state space system[1]. Yang’s method[1] was not discussed about the performance of the reference model. MRAC depends on performance of the reference mo...

As one of the key techniques used in perception layer Industrial Internet Things (IIoT), radio frequency identification (RFID) has been widely applied for object tracing, smart warehouse management, product line monitoring, etc. In most applications, conveyor belts are prevalently implemented to accelerate sorting efficiency goods management. However, such a system, tags quickly go through read...

Nonlinear process control is a difficult task in process industries. Conical tank level control is one among them. Real processes often exhibits nonlinear behavior, time variance and delays between inputs and outputs. This paper aims at implementing an adaptive control algorithm for a conical tank system. System identification of the non-linear process is done using black box modelling and foun...