Research on the civil aero-engine modeling method oriented to control law design

2021 ◽  
Author(s):  
Shuai Liu ◽  
Ming Zhang ◽  
Wei Wang ◽  
Jie Bai ◽  
ShiJie Dai
Keyword(s):  
Standard Model ◽  
Control Method ◽  
Complex Structure ◽  
Modeling Method ◽  
Civil Aviation ◽  
Control Law ◽  
Engine Control ◽  
Dynamics Modeling ◽  
Engine Modeling ◽  
Aero Engine

Abstract The non-linear aero-thermal model of civil aero-engine established by the component method has the characteristics of complex structure and strong coupling of parameters, which is difficult to directly use in the design of control law. Aiming at the problem that civil aero-engine control law design is difficult, heavy workload, and can only be used for nominal point linearization model, a civil aero-engine modeling method oriented to control law design is proposed. Simplify the structure according to the aero-engine control function, and use rotor dynamics modeling and combustion reaction dynamics modeling to establish aero-engine control standard model in differential form, which establishes the corresponding relationship of the parameters required for the control of the aero-engine full envelope. With this control standard model, the nonlinear control method can be directly used in the design of the aero-engine control law, which reduces the workload and difficulty of the control law design to certain extent. The control standard model is established by taking DGEN380 aero-engine as an example, whose accuracy is verified through experiments, and an example of the control law design is given. The civil aviation engine modeling method oriented to control law design has achieved the expected goal.

Optimization of Satellite Momentum Wheel Control System Based on Genetic Programming

2013 ◽  
Vol 748 ◽  
pp. 771-778
Author(s):  
Yu Song Huang ◽  
Yun Feng Dong
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Genetic Programming ◽  
Design Process ◽  
Attitude Control ◽  
Control Method ◽  
Complex Structure ◽  
Control Law ◽  
Reaction Wheel ◽  
The Mathematical Model

Due to reliability requirements, the reaction wheel actuator of the satellite attitude control system always use traditional control method. For the satellite which has complex structure, it's difficult to build the mathematical model with classical control method. The selection of control parameters is also difficult. The design process last long and the model have poor adaptability when the parameters change. Compare to genetic algorithms, genetic programming which have the capabilities to evolve automatically, have the advantage of being able to optimize the structure of the mathematical model. Results of optimization and simulation show that design the reaction wheel actuator control law with genetic programming can simplify the design process. And the evolved control law is better than traditional PD control law.

A Research on Aero-engine Control Based on Deep Q Learning

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Qiangang Zheng ◽  
Zhihua Xi ◽  
Chunping Hu ◽  
Haibo ZHANG ◽  
Zhongzhi Hu
Keyword(s):  
Value Function ◽  
Control Method ◽  
Learning Algorithm ◽  
Training Data ◽  
Engine Control ◽  
Q Learning ◽  
Model Free ◽  
Deep Learning Algorithm ◽  
Aero Engine ◽  
Action Value

AbstractFor improving the response performance of engine, a novel aero-engine control method based on Deep Q Learning (DQL) is proposed. The engine controller based on DQL has been designed. The model free algorithm – Q learning, which can be performed online, is adopted to calculate the action value function. To improve the learning capacity of DQL, the deep learning algorithm – On Line Sliding Window Deep Neural Network (OL-SW-DNN), is adopted to estimate the action value function. For reducing the sensitivity to the noise of training data, OL-SW-DNN selects nearest point data of certain length as training data. Finally, the engine acceleration simulations of DQR and the Proportion Integration Differentiation (PID) which is the most commonly used as engine controller algorithm in industry are both conducted to verify the validity of the proposed method. The results show that the acceleration time of the proposed method decreased by 1.475 second while satisfied all of engine limits compared with the tradition controller.

scholarly journals An Exact Derivative Based Aero-Engine Modeling Method

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 34516-34526 ◽  
Author(s):  
Shuwei Pang ◽  
Qiuhong Li ◽  
Haibo Zhang
Keyword(s):  
Modeling Method ◽  
Engine Modeling ◽  
Aero Engine

scholarly journals A Study of Aero-Engine Control Method Based on Deep Reinforcement Learning

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55285-55289 ◽  
Author(s):  
Qiangang Zheng ◽  
Chongwen Jin ◽  
Zhongzhi Hu ◽  
Haibo Zhang
Keyword(s):  
Reinforcement Learning ◽  
Control Method ◽  
Engine Control ◽  
Aero Engine

scholarly journals PD-computed torque control for an autonomous airship

2019 ◽  
Vol 8 (1) ◽  
pp. 44
Author(s):  
Y. Meddahi ◽  
K. Zemalache Meguenni
Keyword(s):  
Control Method ◽  
Torque Control ◽  
Kinematics And Dynamics ◽  
Control Law ◽  
Euler Angles ◽  
Dynamics Modeling ◽  
Computed Torque Control ◽  
Trajectory Following ◽  
Computed Torque

For the trajectory following problem of an airship, the standard computed torque control law is shown to be robust with respect to unknown dynamics by judiciously choosing the feedback gains and the estimates of the nonlinear dynamics. In the first part of this paper, kinematics and dynamics modeling of the airships is presented. Euler angles and parameters are used in the formulation of this model and the technique of Computed Torque control is introduced. In the second part of the paper, we develop a methodology of control that allows the airship to accomplish a prospecting mission of an environment, as the follow-up of a trajectory by the simulation who results show that Computed Torque control method is suitable for airships.

scholarly journals Disturbance compensation-based output feedback adaptive control for shape memory alloy actuator system

2021 ◽  
Vol 18 (1) ◽  
pp. 172988142199399
Author(s):  
Xiaoguang Li ◽  
Bi Zhang ◽  
Daohui Zhang ◽  
Xingang Zhao ◽  
Jianda Han
Keyword(s):  
Adaptive Control ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Control Method ◽  
Control Law ◽  
Reference Trajectory ◽  
Disturbance Compensation ◽  
Comparison Results ◽  
Control Scheme ◽  
Actuator System

Shape memory alloy (SMA) has been utilized as the material of smart actuators due to the miniaturization and lightweight. However, the nonlinearity and hysteresis of SMA material seriously affect the precise control. In this article, a novel disturbance compensation-based adaptive control scheme is developed to improve the control performance of SMA actuator system. Firstly, the nominal model is constructed based on the physical process. Next, an estimator is developed to online update not only the unmeasured system states but also the total disturbance. Then, the novel adaptive controller, which is composed of the nominal control law and the compensation control law, is designed. Finally, the proposed scheme is evaluated in the SMA experimental setup. The comparison results have demonstrated that the proposed control method can track reference trajectory accurately, reject load variations and stochastic disturbances timely, and exhibit satisfactory robust stability. The proposed control scheme is system independent and has some potential in other types of SMA-actuated systems.

Robust adaptive tracking control for uncertain nonholonomic mobile manipulator

2021 ◽  
pp. 095965182110277
Author(s):  
Abdelkrim Brahmi ◽  
Maarouf Saad ◽  
Brahim Brahmi ◽  
Ibrahim El Bojairami ◽  
Guy Gauthier ◽  
...  
Keyword(s):  
Control Method ◽  
Sliding Mode ◽  
Robust Adaptive Control ◽  
Convergence Time ◽  
Adaptive Sliding Mode Control ◽  
Mobile Manipulator ◽  
Control Law ◽  
Adaptive Tracking Control ◽  
Robust Adaptive ◽  
Manipulator Robot

In the research put forth, a robust adaptive control method for a nonholonomic mobile manipulator robot, with unknown inertia parameters and disturbances, was proposed. First, the description of the robot’s dynamics model was developed. Thereafter, a novel adaptive sliding mode control was designed, to which all parameters describing involved uncertainties and disturbances were estimated by the adaptive update technique. The proposed control ensures a relatively good system tracking, with all errors converging to zero. Unlike conventional sliding mode controls, the suggested is able to achieve superb performance, without resulting in any chattering problems, along with an extremely fast system trajectories convergence time to equilibrium. The aforementioned characteristics were attainable upon using an innovative reaching law based on potential functions. Furthermore, the Lyapunov approach was used to design the control law and to conduct a global stability analysis. Finally, experimental results and comparative study collected via a 05-DoF mobile manipulator robot, to track a given trajectory, showing the superior efficiency of the proposed control law.

Dynamic multi-objective matrix control for a class of switched systems

2021 ◽  
pp. 014233122199338
Author(s):  
Ali Thamallah ◽  
Anis Sakly ◽  
Faouzi M’Sahli
Keyword(s):  
Switched Systems ◽  
Optimization Problem ◽  
Control Method ◽  
Optimization Procedure ◽  
Control Law ◽  
Dynamic Matrix Control ◽  
General Reference ◽  
Multi Objective ◽  
Dynamic Matrix ◽  
Matrix Control

This article focuses on the tracking and stabilizing issues of a class of discrete switched systems. These systems are characterized by unknown switching sequences, a non-minimum phase, and time-varying or dead modes. In particular, for those governed by an indeterminate switching signal, it is very complicated to synthesize a control law able to systematically approach general reference-tracking difficulties. Taking into account the difficulty to express the dynamic of this class of systems, the present paper presents a new Dynamic matrix control method based on the multi-objective optimization and the truncated impulse response model. The formulation of the optimization problem aims to approach the general step-tracking issues under persistent and indeterminate mode changes and to overcome the stability problem along with retaining as many desirable features of the standard dynamic matrix control (DMC) method as possible. In addition, the formulated optimization problem integrates estimator variables able to manipulate the optimization procedure in favor of the active mode with an appropriate adjustment. It also provides a progressive and smooth multi-objective control law even in the presence of problems whether in subsystems or switching sequences. Finally, simulation examples and comparison tests are conducted to illustrate the potentiality and effectiveness of the developed method.

scholarly journals Finite-Time Switching Control of Nonholonomic Mobile Robots for Moving Target Tracking Based on Polar Coordinates

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Hua Chen ◽  
Shen Xu ◽  
Lulu Chu ◽  
Fei Tong ◽  
Lei Chen
Keyword(s):  
Mobile Robots ◽  
Finite Time ◽  
Control Method ◽  
Tracking Error ◽  
Switching Control ◽  
Polar Coordinates ◽  
Control Law ◽  
Moving Target ◽  
Nonholonomic Mobile Robots ◽  
Time Switching

In this paper, finite-time tracking problem of nonholonomic mobile robots for a moving target is considered. First of all, polar coordinates are used to characterize the distance and azimuth between the moving target and the robot. Then, based on the distance and azimuth transported from the sensor installed on the robot, a finite-time tracking control law is designed for the nonholonomic mobile robot by the switching control method. Rigorous proof shows that the tracking error converges to zero in a finite time. Numerical simulation demonstrates the effectiveness of the proposed control method.

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