Research on Improvement of Transient Control Algorithm for Dual System Hybrid VTOL UAV Based on PX4

2018 ◽  
Vol 07 (03) ◽  
pp. 245-252
Author(s):  
亚中 姜
Keyword(s):  
Control Algorithm ◽  
Dual System ◽  
Vtol Uav ◽  
Transient Control

Inverse Model Control of a Three Spool Gas Turbine Engine

2005 ◽  
Author(s):  
Shahid Mahmood ◽  
Ian A. Griffin ◽  
Peter J. Fleming ◽  
Arthur J. Shutler
Keyword(s):  
Gas Turbine ◽  
Control Algorithm ◽  
Inverse Model ◽  
Turbine Engine ◽  
Design Procedures ◽  
Model Based ◽  
Model Control ◽  
Transient Control ◽  
Improved Performance ◽  
Gain Scheduled

The Rolls-Royce Inverse Model (RRIM) controller is a nonlinear, model-based fuel control algorithm. This paper compares the model-based design procedures and resulting performance of RRIM control to those of Classical Gain Scheduled (CGS) control for a three-spool gas turbine. It was observed that similar performance levels can be achieved using the RRIM with a significant decrease in tuning effort and design time when compared to CGS control. The RRIM controller also showed improved performance for the case of transient control. The paper indicates how and why the RRIM controller is robust across the operating envelope and highlights the practical advantages it affords to the industrial designer.

scholarly journals Parameters adaptive backstepping control of PMSM using DTC method

2021 ◽  
Vol 236 ◽  
pp. 04028
Author(s):  
Xiaoming Zheng ◽  
Lei Xue ◽  
Peng Wang ◽  
Jia Li ◽  
Zeyuan Shen
Keyword(s):  
Steady State ◽  
Parameter Identification ◽  
Control Algorithm ◽  
Adaptive Controller ◽  
Control Performance ◽  
Transient Performance ◽  
Motor Speed ◽  
Adaptive Backstepping ◽  
Hysteresis Controller ◽  
Transient Control

The torque and flux ripple of traditional DTC control of PMSM is large, and due to the lack of adaptive control system, the change of the system parameters has a great impact on the steady and transient control performance of the motor speed. Based on the traditional DTC control algorithm, a parameter identification adaptive backstepping DTC control algorithm is proposed in this paper. Because the backstepping controller is used to replace PI controller and flux hysteresis controller, the steady-state and transient performance of the system is obviously improved. At the same time, a parameter identification adaptive controller is designed, which can effectively suppress the influence of parameter changes on the speed control performance. The simulation results verify the correctness and effectiveness of the control algorithm. The control algorithm can significantly improve the steady-state and transient performance of the system under the condition of parameter mutation.

Preliminary design of dual-system hybrid VTOL UAV for medical delivery purpose

2021 ◽  
Author(s):  
Fahmi Abdillah Sambodo ◽  
Willy Wahyanto ◽  
Marco Wijaya ◽  
Ghifari Hanif Mustofa ◽  
Muhammad Fikri Al-Fattah Isrinanto ◽  
...  
Keyword(s):  
Dual System ◽  
Preliminary Design ◽  
Vtol Uav ◽  
Medical Delivery

Automation of Process Control in Chemical Plant

2015 ◽  
Vol 2 (1) ◽  
pp. 6-12
Author(s):  
Agus Sugiarta ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Process Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Chemical Engineering ◽  
Chemical Plant ◽  
Raw Material ◽  
Flow Rates ◽  
Material Supply ◽  
Wide Range ◽  
Inherent Problem

Automation of process control in chemical plant is an inspiring application field of mechatronicengineering. In order to understand the complexity of the automation and its application requireknowledges of chemical engineering, mechatronic and other numerous interconnected studies.The background of this paper is an inherent problem of overheating due to lack of level controlsystem. The objective of this research is to control the dynamic process of desired level more tightlywhich is able to stabilize raw material supply into the chemical plant system.The chemical plant is operated within a wide range of feed compositions and flow rates whichmake the process control become difficult. This research uses modelling for efficiency reason andanalyzes the model by PID control algorithm along with its simulations by using Matlab.

Adaptive depth control algorithm for sound tracing

2018 ◽  
Vol 24 (5) ◽  
pp. 21-30
Author(s):  
Eun Jae Kim ◽  
Woonam Chung ◽  
Woochan Park ◽  
Yun Juwon ◽  
Youngsik Kim
Keyword(s):  
Control Algorithm ◽  
Depth Control

Control Algorithm for an Industrial Robotic Arm Using Computer Vision

2015 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Germán Buitrago Salazar ◽  
Olga Lucía Ramos ◽  
Dario Amaya
Keyword(s):  
Computer Vision ◽  
Control Algorithm ◽  
Robotic Arm
Sign in / Sign up

Export Citation Format

Share Document