On-line Adaptation of Parameter Uncertainties of a Practical Plant Employing L1 Adaptive Controller

2018 ◽  
pp. 351-364
Author(s):  
Roshni Maiti ◽  
Kaushik Das Sharma ◽  
Gautam Sarkar
Keyword(s):  
Adaptive Controller ◽  
Parameter Uncertainties ◽  
On Line ◽  
L1 Adaptive Controller

L1 Adaptive Control for Aircraft Air Management System Pressure-Regulating Bleed Valve

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
John Cooper ◽  
Chengyu Cao ◽  
Jiong Tang
Keyword(s):  
Management System ◽  
Control Valve ◽  
Pressure Control ◽  
Adaptive Controller ◽  
System Model ◽  
Flow Control Valve ◽  
L1 Adaptive Control ◽  
System Pressure ◽  
L1 Adaptive Controller ◽  
Linear Controllers

This paper presents an L1 adaptive controller for pressure control using an engine bleed valve in an aircraft air management system (AMS). The air management system is composed of two pressure-regulating bleed valves, a temperature control valve, a flow control valve, and a heat exchanger/precooler. Valve hysteresis due to backlash and dry friction is included in the system model. The nonlinearities involved in the system cause oscillations under linear controllers, which decrease component life. This paper is the unique in the consideration of these uncertainties for control design. This paper presents simulation results using the adaptive controller and compares them to those using a proportional–integral (PI) controller.

Ethernet-Based Intelligent Switching of Controllers for Performance Improvement in an Industrial Plant

2003 ◽  
Author(s):  
P. L. Tang ◽  
C. W. de Silva
Keyword(s):  
Performance Metrics ◽  
Intelligent System ◽  
Adaptive Controller ◽  
Industrial Plant ◽  
Fish Processing ◽  
Adaptive Controllers ◽  
Processing Machine ◽  
Knowledge Based ◽  
On Line ◽  
Proper Design

This paper presents an Ethernet-based intelligent system for remote switching of the controllers of an industrial plant with the objective of on-line improvement of the performance of the plant. The plant considered in the present paper is an industrial fish-processing machine, which operates using one of several adaptive controllers. The scheme utilizes a remote supervisor, which incorporates knowledge-based decision making to continuously monitor the performance of the plant. The performance metrics deduced from the observations are then used to infer the best adaptive controller for the plant under the existing conditions. A knowledge-based system that incorporates both human expertise and analytical knowledge regarding the plant and the controllers is developed. The proposed intelligent switching is implemented in real-time for controlling the hydraulic-actuated cutter of the fish-processing machine. A client/server supervisory control architecture for remote networked-based controller switching is developed. Switching has to be done in such a manner that the transition from one controller to another takes place in a smooth manner. Proper design of the intelligent switching system is key to achieving this objective.

Magnetic Momentum Control of a Satellite Augmented with an L1 Adaptive Controller

2013 ◽  
Author(s):  
Helena Vogel ◽  
Walter Fichter ◽  
Ronald Choe ◽  
Enric Xargay ◽  
Naira Hovakimyan
Keyword(s):  
Adaptive Controller ◽  
L1 Adaptive Controller

scholarly journals On-line Adaptive Controller System used on Small UAV

2012 ◽  
Vol 45 ◽  
pp. 980-985 ◽  
Author(s):  
Tongyue Gao ◽  
Rui Tang ◽  
Junjin Rao ◽  
Jun Luo ◽  
Zhenbang Gong
Keyword(s):  
Adaptive Controller ◽  
Small Uav ◽  
On Line

Automatic Aircraft Cabin Pressurization Systems

2019 ◽  
pp. 20-25
Author(s):  
Z.S. Sukhov ◽  
G.A. Timofeev
Keyword(s):  
Control Systems ◽  
Pid Controller ◽  
Pressure Control ◽  
Adaptive Controller ◽  
Testing Environment ◽  
Fuzzy Pid Controller ◽  
New Methods ◽  
Automatic Pressure ◽  
L1 Adaptive Controller ◽  
The Cost

This article presents a review of pneumatic, electro-pneumatic and digital systems for automatic pressure control in an airtight cabin and lists the types of aircraft where such systems are installed. Advanced algorithms for controlling the pressure in an airtight cabin are analyzed and literature on this topic is surveyed. The work of a Russian author that describes optimal control based on Pontryagin’s maximum principle is examined. The works of foreign authors on fuzzy PID-controller, L1-adaptive controller and other methods of adaptive pressurization are analyzed and brief results of these works are presented. The performed analysis indicates the need to use new methods and approaches to the synthesis of automatic pressure control systems for various types of aircraft. One of the most promising solutions is the use of adaptive regulators. The relevance of developing a virtual testing environment to reduce the cost of full-scale testing is shown.

L1 Adaptive Controller for a Missile longitudinal Autopilot Design

2008 ◽  
Author(s):  
Jiang Wang ◽  
Chengyu Cao ◽  
Naira Hovakimyan ◽  
Richard Hindman ◽  
D. Brett Ridgely
Keyword(s):  
Adaptive Controller ◽  
L1 Adaptive Controller
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