Purpose This paper aims to propose a multi-agent approach adaptive control of fixed-wing unmanned aerial vehicles (UAVs) tracking moving ground target. The implies that the UAVs in single group must maintain preset phase shift angles while rotating around target so as evaluate target’s movement more accurately. Thus, controls should ensure UAV swarm follows circular path whose center is also at...

Model predictive torque control with duty cycle (MPTC-DCC) is widely used in motor drive systems because of its low ripple and good steady-state performance. However, the selection optimal voltage vector calculation duration are extremely dependent on accuracy parameters. In view this situation, A modified MPTC-DCC proposed paper. According to variation error between measured value predicted va...

A wearable lower-limb rehabilitation exoskeleton functions to fulfill the recovery process of limb functionality and assist physiotherapists. This paper presents an optimized adaptive control system for a exoskeleton. The tuning controller gains is defined as optimization problem closed-loop robot by genetic algorithm particle swarm optimization. We presented novel initialized model reference (...

<p><span lang="EN-US">The present paper is directed to achieve a low-cost high-performance self-starting single phase induction motor (SPIM) drive system. A shifted pulse width modulation (PWM) trains feeding the will replace starting and running capacitors. Adaptive sliding mode control, enhance with model reference adaptive control (MRAC), implemented high performance sensorless S...

In this paper, we develop an approach for solving the problem of sliding mode decentralized adaptive state-feedback tracking with continuous control actions for a class of uncertain nonlinear dynamical systems. In addition to the traditional asymptotic zero error tracking specification in the sliding mode decentralized model reference adaptive control (MRAC) problem formulation, here an additio...

In this paper we investigate the observer design for Single-Input Single-Output (SISO) systems with unknown input. We find that the design conditions proposed by several authors in the past lead to unity relative degree of the plant and zeros of the plant in the open left half of the complex plane, for SISO systems. In other words an observer for a SISO plant with unknown input can be designed ...

We consider a class of minimum-phase non-linear systems with large parametric uncertainties. The non-linear dynamics is assumed to be linearly parameterized in terms of the unknown parameters. A novel scheme which utilizes multiple models in a model reference adaptive control (MRAC) framework is proposed to improve the transient performance of the adaptive scheme. The proposed approach makes us...

This paper presents a novel Fuzzy Multiple Reference Model Adaptive Controller (FMRMAC) for systems that are multi modal in nature and show scheduled ‘Jumps’ in their operation. The proposed scheme incorporates a fuzzy logic switching method in the Model Reference Adaptive Control (MRAC) framework without any explicit identifier. The fuzzy switching scheme produces a ‘soft’ way of model generat...

Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient’s sensitivity to the drugs varies from patient to patient. Therefore, the implementation of adaptive controller is very ...