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In this paper, on the basis of sliding mode control theory, a new integral tangent adaptive fuzzy sliding mode control for aircraft engine was proposed. Based on the uncertainty model of aircraft engine, a hyperbolic tangent integral sliding surface was constructed at first, and it effectively overcome the problem of integral saturation effect which was often occur in the traditional integral sliding...
Three-degree-of-freedom trajectory tracking of the stratospheric airship is investigated. With a simplified planar dynamic model, an adaptive backstepping sliding mode controller is designed to keep the airship to globally asymptotically track a desired trajectory. Lyapunov functions are used to ensure the tracking performance when model parametric uncertainty and external disturbances exist. Simulation...
Nonlinear dynamic inversion (NDI) has been applied to the control law design of UAVs for many years mainly due to its good robustness. However, it has a weakness of relying on accurate model of the plant greatly, which restrains its application since UAVs are easy to be influenced by persistent disturbances such as model uncertainties, winds and gusts; thus, development of accurate model for attitude...
This paper studies the attitude control problem for the longitudinal motion of a hypersonic aircraft model containing 28 inertial and aerodynamic uncertain parameters given by NASA Langley Research Center. To handle the nonlinear dynamics and uncertain parameters, ADRC for the unobservable and unmatched disturbance is designed. Besides, the properties of the closed-loop system is discussed in two...
A robust entry guidance law with finite time convergence is designed for drag-tracking in this paper. The bank angle is regarded as the control variable. First, a robust sliding mode control (SMC) method, which can guarantee the finite time convergence, is proposed for a class of nonlinear systems with uncertainties and disturbances. Then, after the drag dynamics is given, the finite time guidance...
This paper develops two robust adaptive controllers for UAVs. The first controller is the robust adaptive PID based on fuzzy logic. The other is the intelligent flight controller based on ANFIS. The simulation results exhibit the robustness of the developed controllers. Likewise, the results present that the intelligent flight controller based on ANFIS produces better robustness performance than robust...
In this paper, the design of the UAV attitude control loop of the small high speed UAV is carried out under the external disturbance in the complex flight environment and the unmodeled characteristics of the aircraft itself. First, in order to suppress the external disturbance and model uncertainty, Utilizing the angular kinetic motion model of the angular velocity, robust servo LQR linear controller...
We present an indirect adaptive model predictive control algorithm for output tracking of linear systems with polytopic uncertainty. The proposed approach is based on the velocity form of the system model, and achieves input-to-state stable output tracking with respect to the parameter estimation error and the rate of change of time-varying references. For the constrained case, recursive feasibility...
Unmanned aerial vehicles (UAVs) experience different atmospheric uncertainties during the flight operation. These uncertainties caused the problem in the stability and the desired performance of the system. This research paper is structured to nullify the influence of atmospheric turbulence and ground effect on the unmanned aerial vehicle to control the roll angle. The model of Dryden turbulence is...
The wings of loitering unit could be unfolded in flight. In view of the model parameters uncertainty caused by the structural change, based on the vehicle's longitudinal and lateral motion equations, combined with the characteristics of ADRC, active disturbance rejection attitude controller is designed. Six degrees of freedom nonlinear simulation model is operated with Simulink and aerodynamic parameters...
Robust Unit Commitment (UC) model has been intensively investigated as an effective approach to hedge against randomness and risks. All existing robust UC formulations consider uncertainties in demand and/or cost. We observe that, nevertheless, a power system could be seriously affected by surrounding temperature and there is a strong relationship among the efficiency of gas generators, demand and...
In this paper we present the design of an autopilot for roll angle displacement of an aircraft to a desired orientation using real flight data. Matlab Robust Control Toolbox is used for the synthesis of the stabilizing K controller. The model plant is partitioned in terms of the number of perturbations, the number of control inputs, the number of errors, and the number of outputs. Experimental results...
This paper proposes a robust demand-side control algorithm in a smart grid environment for heating, ventilation and air conditioning (HVAC) systems. A robust model predictive control (RMPC) scheme in a receding horizon fashion is deployed, which optimizes electricity cost and capacity market participation of the HVAC system, while satisfying comfort and operational constraints of the building and...
In this paper, the problem of robust tracking control is investigated. Simulation on the longitudinal model of a flexible air-breathing hypersonic vehicle (FAHV) with actuator saturation and uncertainties is conducted. In order to guarantee that the velocity and altitude to track their reference commands, an adaptive anti-up control strategy is presented based on sliding mode control method. The adaptive...
Information system (IS) agility has been consistently ranked high by executives in various surveys conducted in the past decade. However, the concept of agility lacks clarity and specification, which can hinder our efforts accumulating knowledge and comparing studies. Based on a comprehensive conceptualisation, we compare agility with commonly confused concepts such as flexibility, evaluate four key...
Robust control design against uncertainties is an important matter particularly for safety-critical systems such as the aircraft. Uncertainties, which resulted from uncertain parameters of the system or unmodelled dynamics, affect the stability and performance of the system. This paper presents a fault-tolerant control scheme for a multi-variable aircraft dynamics using robust controllers. Robust...
In this paper, a novel guidance scheme is presented for UAVs using the Integrated Guidance and Control (IGC) framework. The proposed guidance scheme is derived using H∞ Loop Shaping Design Procedure (LSDP). To recover from an initial cross track error, the proposed guidance algorithm produces such aileron commands that ensure the roll maneuvers without saturating the roll angle. The shaping of the...
The mathematical model of small fixed-wing UAV is difficult to determine precisely, especially for low-cost UAVs due to the limitation of the body material. Control of small UAVs with model uncertainty is an open problem both in the control community and engineering field. Active disturbance rejection control (ADRC) proposed by Jingqing Han has been shown to be an effective tool in dealing with real...
In the following paper, L1 adaptive control theory is used to design a controller for longitudinal short-period aircraft pitch. This controller accounts for the uncertainties of the aircraft model and the lack of robustness of existing methods. The aircraft handling qualities of six groups of different flight cases were used to build this model, regarding the uncertainties of the aircraft model as...
In this article, the case is considered where a regulated output of an uncertain system with unknown disturbance input is constrained to lie between two specified time-varying bounds. It is supposed a controller has already been designed using any desired technique. This controller may not satisfy expected output constraints. The objective is to design saturations on the control signal so that the...
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