Model and robust gain‐scheduled PID control of a bio‐inspired morphing UAV based on LPV method

2019 ◽  
Vol 21 (4) ◽  
pp. 1681-1705
Author(s):  
Pengyuan Shao ◽  
Jin Wu ◽  
Chengfu Wu ◽  
Songhui Ma
Keyword(s):  
Pid Control ◽  
Gain Scheduled ◽  
Morphing Uav

Application of Gain Scheduled PID Control in the Lithography Positioning System

2012 ◽  
Vol 220-223 ◽  
pp. 1752-1756
Author(s):  
Gui Rong Dong
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Structural Vibration ◽  
Positioning System ◽  
Mean Square ◽  
Positioning Control ◽  
System A ◽  
Gain Scheduled ◽  
Small Disturbances

According to the perturbation in lithography positioning control system, a novel gain scheduled PID controller using a root mean square (RMS) signal is proposed. Perturbation is also referred as the stage hunting, and the positioning control system will be very weak against small disturbances such as electrical noise or even structural vibration of the building in which the stage is installed. The gain scheduled PID controller is used to minimize the stage hunting and simultaneously maximize the immunity to disturbances. Simulations results verify the effectiveness of the gain scheduled PID controller for the positioning control in the lithography stage, as compared with the traditional PID controller.

scholarly journals Robust Gain-Scheduled PID Control: A Parameter Dependent BMI Solution

2020 ◽  
Vol 20 (1) ◽  
pp. 156-167
Author(s):  
Pengyuan Shao ◽  
Jin Wu ◽  
Songhui Ma
Keyword(s):  
Robust Control ◽  
Pid Control ◽  
Optimization Problem ◽  
Simple Structure ◽  
Control Method ◽  
Time Varying ◽  
Linear Parameter Varying ◽  
Parameter Dependent ◽  
Gain Scheduled ◽  
Static Output

AbstractIn control practices, problems of parametric or time-varying uncertainties must be dealt with. Robust control based on norm theory and convex and non-convex optimization algorithms is a powerful tool to solve these problems in theory, but it is employed rarely in applications. In most engineering cases, Proportional-Integration-Derivative (PID) control is still the most popular method for its easy-to-tune and controllable properties. The control method proposed in this paper integrates the PID control into robust control formulation as a robust Structured Static Output Feedback (SSOF) problem of Linear-Parameter-Varying (LPV) systems, which can be converted into a Parameter Dependent Bilinear-Matrix-Inequality (PDBMI) optimization problem. A convex-concave decomposition based method is given to solve the proposed PDBMI problem. The proposed solution has a simple structure in PID form and can guarantee stability and robustness of the system being controlled in the whole operation range with less conservativeness than existing solution.

scholarly journals Fault-Tolerant Lyapunov-Gain-Scheduled PID Control of a Quadrotor UAV

2015 ◽  
Vol 8 (2) ◽  
pp. 1-6 ◽  
Author(s):  
Abderrahmen Bouguerra ◽  
◽  
Djamel Saigaa ◽  
Kamel Kara ◽  
Samir Zeghlache ◽  
...  
Keyword(s):  
Pid Control ◽  
Fault Tolerant ◽  
Quadrotor Uav ◽  
Gain Scheduled

scholarly journals A Survey on Gain-Scheduled Control and Filtering for Parameter-Varying Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Guoliang Wei ◽  
Zidong Wang ◽  
Wangyan Li ◽  
Lifeng Ma
Keyword(s):  
Pid Control ◽  
Probability Distributions ◽  
Gain Scheduling ◽  
Future Research ◽  
Research Directions ◽  
Recent Developments ◽  
Scheduling Method ◽  
Future Research Directions ◽  
Parameter Varying ◽  
Gain Scheduled

This paper presents an overview of the recent developments in the gain-scheduled control and filtering problems for the parameter-varying systems. First of all, we recall several important algorithms suitable for gain-scheduling method including gain-scheduled proportional-integral derivative (PID) control,H2,H∞and mixedH2/H∞gain-scheduling methods as well as fuzzy gain-scheduling techniques. Secondly, various important parameter-varying system models are reviewed, for which gain-scheduled control and filtering issues are usually dealt with. In particular, in view of the randomly occurring phenomena with time-varying probability distributions, some results of our recent work based on the probability-dependent gain-scheduling methods are reviewed. Furthermore, some latest progress in this area is discussed. Finally, conclusions are drawn and several potential future research directions are outlined.

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.

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