1. Abstract The objective of this paper is to report the results from the research being conducted in reconfigurable flight controls at NASA Ames. A study was conducted with three NASA Dryden test pilots to evaluate two approaches of reconfiguring an aircraft’s control system when failures occur in the control surfaces and engine. NASA Ames is investigating both a Neural Generalized Predictive ...

Predictive control technique is applied to the three-axis attitude control of spacecraft. The principal idea of predictive control is to construct a priori reference trajectory and build control command so that the actual system follows the reference trajectory. In the case of this study, the controlled variables are the quaternion attitude parameters and angular rates of spacecraft body axes. ...

Crop and irrigation water use efficiencies may be improved by managing irrigation application timing and volumes using physical and agronomic principles. However, the crop water requirement may be spatially variable due to different soil properties and genetic variations in the crop across the field. Adaptive control strategies can be used to locally control water applications in response to in...

In recent papers [4],[7],[8],[11], [12],[14] different forms of neural network based predictive controllers have been proposed.The main emphasis in these papers is on the implementation aspects of the controller, i.e. the development of a robust optimization algorithm for the controller, which will be able to perform in real time. Rowever, the stability issue has not been addressed specifically...

/ / there is little a priori knowledge of the plant parameters, the performance of certainty equivalence based adaptive controllers during the transient period, before the parameter estimates have converged, is usually less than adequate. This paper introduces a new suboptimal loss function with an N-step-ahead prediction horizon, similar in principle to standard predictive control loss functio...

The present paper investigates the power system stabilizer based on neural predictive control for improving power system dynamic performance over a wide range of operating conditions. In this study a design and application of the neural network model predictive controller (NN-MPC) on a simple power system composed of a synchronous generator connected to an infinite bus through a transmission li...

One of the high energy consuming devices in the buildings is the air-conditioning system. Designing a proper controller to consider the thermal comfort and simultaneously control the energy usage of the device will impact on the system energy efficiency and its performance. The aim of this study was to design a Multiple-Input and Multiple-Output (MIMO), non-linear, and intelligent controller on...

This article presents the design, simulation and real-time implementation of a constrained non-linear model predictive controller for a coupled tank system. A novel wavelet-based function neural network model and a genetic algorithm online non-linear real-time optimisation approach were used in the non-linear model predictive controller strategy. A coupled tank system, which resembles operation...

NONLINEAR CONTROL APPLICATIONS FOR NONHOLONOMIC AUTONOMOUS SYSTEMS by Lucas C. McNinch Villanova University, 2009 THESIS ADVISORS: Kenneth R. Muske, Ph.D. and Hashem Ashrafiuon, Ph.D. This thesis presents several nonlinear control applications for nonholonomic autonomous wheeled mobile robot and unmanned surface vessel (USV) systems. First, an overview of nonlinear control and nonholonomic syst...

Nacelle based LIDAR (Light detection and ranging) systems provide preview information of wind disturbances at various distances in front of a wind turbine. Preliminary work towards this objective [1] has shown that the predictive knowledge of the rotor effective wind speed can be used to improve the speed regulation by a predictive feedforward update to the collective pitch feedback controller,...