scholarly journals Flight assessment of the onboard propulsion system model for the Performance Seeking Control algorithm of an F-15 aircraft

1995 ◽  
Author(s):  
John Orme ◽  
Gerard Schkolnik
Keyword(s):  
Control Algorithm ◽  
Propulsion System ◽  
System Model

scholarly journals Analysis of the bioethanol production process control

2020 ◽  
Vol 154 ◽  
pp. 02009
Author(s):  
Stanisław Lis ◽  
Marcin Tomasik ◽  
Sławomir Kurpaska ◽  
Jarosław Knaga ◽  
Piotr Łyszczarz
Keyword(s):  
Control System ◽  
Production Process ◽  
Control Algorithm ◽  
Feedback Loop ◽  
General Concept ◽  
System Model ◽  
Bioethanol Production ◽  
Correct Operation ◽  
Object A ◽  
Control System Model

The article presents the analysis of the automatic control of the bioethanol production process intended for biofuel. It presents the formulated general concept of the system and the method of designing a closed control system based on the iterative prototyping procedure. The modeling and the simulation were carried out in the Matlab®-Simulink environment. The simulation model of the object was developed based on the experimentally registered characteristics. It has been adjusted, i.e. the compatibility of its behavior with the object it reproduces has been confirmed. Based on the tuned model of the object, a control system model was created, which was the basis for computer simulation which enabled the control algorithm parameters to be established. The final verification of the correct operation of the system was performed with the use of hardware simulation. It was based on entering a negative feedback loop of the virtual control system of the real object elements into the loop. The results of the simulation confirmed the correctness of the adopted design.

scholarly journals An Underwater Vector Propulsion Device Based on the RS+2PRS Parallel Mechanism and Its Attitude Control Algorithm

2019 ◽  
Vol 9 (23) ◽  
pp. 5210 ◽  
Author(s):  
Wang ◽  
Guo ◽  
Zhong
Keyword(s):  
Attitude Control ◽  
Parallel Mechanism ◽  
Control Algorithm ◽  
Simulation Analysis ◽  
Autonomous Underwater Vehicles ◽  
Propulsion System ◽  
Precession Angle ◽  
Nutation Angle ◽  
Prismatic Joints ◽  
Spherical Parallel Mechanism

In order to overcome the disadvantages of some existing autonomous underwater vehicles (AUVs), such as actuator extraposition and degree-of-freedom (DOF) redundancy, a 2-DOF vector propeller propulsion system with built-in actuator based on the deficient DOF parallel mechanism is proposed. The RS+2PRS (Revolute-Spherical+ Prismatic-Revolute-Spherical) parallel mechanism is used as the main structure, and the driving parts are placed in the interior of the AUV cabin, which is beneficial to the sealing and protection of the propulsion system. In addition, the motion parameters decoupling shows that the two independent parameters are the precession angle and the nutation angle of the propeller installation platform. Therefore, the attitude control algorithm uses two prismatic joints as driving units to establish the nonlinear mapping model with the two Euler attitude angles. In the end, the simulation analysis and the real device are used to verify the feasibility of the attitude control algorithm and the in situ adjustment function of the propeller, which lays the theoretical foundation for engineering applications in the future.

The Simulation of Robot Control Based on CMAC Neural Network PID Control Algorithm

2013 ◽  
Vol 336-338 ◽  
pp. 659-663
Author(s):  
Jian Li Yu ◽  
Ya Zhou Di ◽  
Lei Yin
Keyword(s):  
Neural Network ◽  
Pid Control ◽  
Robot Control ◽  
Control Algorithm ◽  
External Disturbance ◽  
System Model ◽  
Robot System ◽  
System Parameters ◽  
Cmac Neural Network ◽  
Neural Network Pid

According to the problem of nonlinear and uncertainty in robot control, this paper proposes a PID control algorithm based on CMAC neural network model, for the elimination of the influence of uncertainty caused by robot system parameters and external disturbance. The simulation results show that this algorithm can effectively overcome the uncertainties and external disturbance of robot system model, this algorithm has good robustness and stability, its performance is superior to the traditional PID control algorithm.

scholarly journals Stability of PDF Controller With Stick-Slip Friction Device

1997 ◽  
Vol 119 (3) ◽  
pp. 486-490 ◽  
Author(s):  
Jia-Yush Yen ◽  
Chih-Jung Huang ◽  
Shu-Shung Lu
Keyword(s):  
Control Algorithm ◽  
Controller Design ◽  
System Model ◽  
Pole Placement ◽  
Order System ◽  
Stick Slip ◽  
Precision Control ◽  
Experimental Works ◽  
The Stability ◽  
Control Accuracy

This paper presents the precision control of drive devices with significant stick-slip friction. The controller design follows the Pseudo-Derivative Feedback (PDF) control algorithm. Using the second order system model, the PDF controller offers arbitrary pole placement. In this paper, the stability proof for the controller with stick-slip friction is presented. On the basis of this proof, the stability criteria are derived. The paper also includes both the computer simulation and the experimental works to confirm the theoretical result. The experiments conducted on a Traction Type Drive Device (TTDD) shows that control accuracy of as high as ±1 arc – second is achieved.

A Clonal Selection Algorithm Based Fuzzy Optimal Iterative Learning Control Algorithm

2012 ◽  
Vol 490-495 ◽  
pp. 329-333
Author(s):  
Heng Jie Li ◽  
Xiao Hong Hao ◽  
Xian Jun Du ◽  
Ya Rong Jin
Keyword(s):  
Model Uncertainty ◽  
Iterative Learning Control ◽  
Control Algorithm ◽  
Clonal Selection ◽  
Learning Control ◽  
Iterative Learning ◽  
System Model ◽  
Clonal Selection Algorithm ◽  
Selection Algorithm ◽  
Takagi Sugeno

In order to realize effective tracking of output of non-linear plants with model uncertainty in specified time domain, a clonal selection algorithm based fuzzy optimal iterative learning control algorithm is proposed. In the algorithm, a clonal selection algorithm is employed to search optimal input for next iteration, and another clonal selection algorithm is used to update the parameters of Takagi-Sugeno-Kang fuzzy system model of the plant. Simulations show that the proposed method converges faster than GA-ILC in iterative domain，and is able to deal with model uncertainty well

Research on aero-engine steady model based on an improved compact propulsion system model

2019 ◽  
Vol 234 (6) ◽  
pp. 726-733
Author(s):  
Qiangang Zheng ◽  
Yong Wang ◽  
Fengyong Sun ◽  
Juan Fang ◽  
Haibo Zhang ◽  
...  
Keyword(s):  
Control Method ◽  
System Modeling ◽  
Propulsion System ◽  
System Model ◽  
Testing Time ◽  
Variable Model ◽  
Output Vector ◽  
State Variable ◽  
Advanced Control ◽  
Aero Engine

The aero-engine steady model is the basis of the modern advanced control method such as performance seeking control. An improved compact propulsion system model is proposed to improve the steady model accuracy. The improved compact propulsion system model mainly contains linear model, such as steady-state variable model, and physical-based models, such as inlet model, nonlinear model, and nozzle model. The improved compact propulsion system model applied to full envelop by parameter corrections. The basepoint control vector and basepoint output vector of improved compact propulsion system model are four-dimensional interpolation instead of two-dimensional interpolation as conventional compact propulsion system modeling does. The improved compact propulsion system model not only considers the change of engine state but also take the flight parameter into account. The simulations of the conventional compact propulsion system modeling and the improved compact propulsion system model are conducted in subsonic and transonic flight envelop. The simulations show that, compared with the conventional compact propulsion system modeling, the relative testing errors of the improved compact propulsion system model decrease greatly. Moreover, the testing time of the conventional compact propulsion system modeling and the improved compact propulsion system model are both almost equal to 0.027 ms.

scholarly journals One Lever Control for Variable Pitch Turboprop Aircraft

2020 ◽  
Vol 197 ◽  
pp. 11012
Author(s):  
Giovanni Gaudio ◽  
Lorenzo Dambrosio
Keyword(s):  
Control Strategy ◽  
Control Algorithm ◽  
Propulsion System ◽  
Pilot Training ◽  
Variable Pitch ◽  
Common Solution ◽  
Lever System ◽  
Propulsion Control ◽  
Aircraft Propulsion System ◽  
The One

The present work focuses on the control strategy concerning the propulsion system of a variable pitch turboprop aircraft. Extremely common solution for the management of the propulsion system of existing variable pitch turboprop aircraft considers a two-lever system for the control of both the turboprop output power and the propeller thrust. Such an approach translates, on one hand into a greater pilot responsibility and, on the other hand, into higher costs in terms of fuel consumption, aircraft maintenance and pilot training. In order to solve these drawbacks, an one-lever system for the control of the variable pitch turboprop aircraft propulsion system has been proposed. The design of this one-lever propulsion control has been carried at first by developing the whole aircraft ecosystem in Simulink© framework and then by implementing the control algorithm of the one-lever system.

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