Project 1
Design of Robust Adaptive Fault-Tolerant and Reconfigurable Control Systems
Investigators: Prof. Petros Ioannou
Supported by Air Force with subcontract from California State University, Los Angeles
Status: current
Project 2
Adaptive and Nonlinear Control Techniques with Applications to High Performance Aircraft
Investigators: Prof. Petros Ioannou
Supported by Air Force under subcontract with California State University Los Angeles and National Science Foundation
Status: current
Project 3
On Line Learning and Control of Partially Known and Unknown Nonlinear Systems
Investigators: Petros A. Ioannou, Baris Fidan, Haojian Xu, Elias B. Kosmatopoulos, and Youping Zhang
Supported by National Science Foundation (NSF)
Status: current
Project 1
The objective of the project is to design, analyze, and evaluate robust adaptive fault-tolerant control (RAFTC) systems for high performance aircraft. With the RAFTC system combat aircraft are expected to operate outside currently achievable flight envelops, push their performance closer to possible performance limits, and be able to detect, isolate, and accommodate a wide range of failures. The two figures below show the NASA X-43A and the F-16 aircraft whose models are used to develop RAFTC systems.
NASA X-43A/Hyper-X Hypersonic Experimental Research Vehicle (An experimental aircraft flying at test conditions (Mach 7 or 10) where the high nonlinearity is a main challenge in designing RAFTC systems.
Advanced Fighter Technology Integration (AFTI) F-16 aircraft An advanced combat aircraft where the fault detection and reconfigurable control system is critical for battle damage.
Reports and Publications
Ying Huo, Petros A. Ioannou and Maj Mirmirani, “Fault-Tolerant Control and Reconfiguration for High Performance Aircraft: Review”, CATT Technical Report No. 01-11-01 (pdf).
Project 2
High Performance Aircraft have highly nonlinear dynamics and because of their design and flight conditions of high altitudes and Mach numbers, they are extremely sensitive to changes in atmospheric conditions as well as physical and aerodynamic parameters. As the result, the exact mathematical modeling for this kind of aircrafts is very difficult. Modeling inaccuracies can have strong adverse effects on the performance of air vehicle’s control systems. Nonlinear robust adaptive control techniques have strong potential to meet the performance objectives of future high performance aircraft
Reports and Publications
Haojian Xu, P. A. Ioannou, M. Mirmirani, et.al, “Control Hypersonic Vehicle by A Sliding Mode Method”, CATT Technical Report No. 02-02-01 (pdf), in Proceedings of the 11th AAS/AIAA space flight mechanics meeting, Santa Barbara, February 2001, under review for Journal of Guidance, Control, and Dynamics, February 2002.
Haojian Xu and P. A. Ioannou, “Robust Adaptive Control of Linearizable Nonlinear Single Input Systems with Guaranteed Error Bounds”, CATT Technical Report No. 02-05-01 (pdf).
Project 3
While the control of linear time invariant (LTI) systems has reached a high level of maturity, the control of nonlinear and time varying (TV) systems is still very much unexplored. Recent advances in nonlinear design and analysis techniques together with the widespread use of fast low cost computers and sophisticated software tools offer a strong potential for the development of successful control designs for nonlinear systems. In this project, preliminary control designs developed by the investigators for certain classes of nonlinear and TV systems are being used to develop a general methodology for controlling unknown nonlinear and TV systems. The control design under development employs ideas from robust adaptive and nonlinear control as well as function approximation results from neural and fuzzy systems to meet control objectives for a nonlinear plant that cannot be met by current control methods. Robust adaptive control modifications, backstepping, tuning functions, nonlinear damping, and control Lyapunov functions are some of the design techniques considered in the project. Analytical tools such as Lyapunov theory, functional analysis, and function approximation are being used together with simulation together with computer simulations to establish and demonstrate the properties of the developed control methodologies. The expected outcome of the project is the development of methodologies for controlling wide classes of unknown or partially known nonlinear plants that cannot be controlled using the current control methods.
Reports and Publications
Y. Zhang, B. Fidan, and P. A. Ioannou, “Backstepping Control of Linear Time Varying Systems with Known and Unknown Parameters”, submitted to IEEE Trans. on Automatic Control, 2002
B. Fidan, Y. Zhang, and P. A. Ioannou, “A New Robust Adaptive Control Scheme for Linear Time Varying Plants”, to appear in Proc. of 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, December 2002.
B. Fidan, E. B. Kosmatopoulos, and P. A. Ioannou, “A Switching Controller for Multivariable LTI Systems with Known and Unknown Parameters”, to appear in Proc. of 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, December 2002 .
Haojian Xu and P. A. Ioannou, “Robust adaptive control for a class of MIMO nonlinear systems with guaranteed error bounds“, to appear in IEEE Trans. on Automatic Contro1, 2002
Haojian Xu and P. A. Ioannou, “Robust adaptive control of linearizable nonlinear single input systems with guaranteed error bounds“, submitted to Automatica, 2001
Haojian Xu and P. A. Ioannou, “Robust adaptive control for a class of MIMO nonlinear systems”, to appear in Proc. of 41st IEEE Conference on Decision and Control, Las Vegas, Nevada, December 2002.
Haojian Xu and P. A. Ioannou, “Robust adaptive control of linearizable nonlinear single input systems”,in Proc. of XV. IFAC World Congress, Barcelona, Spain, July 2002.
Haojian Xu, P. A. Ioannou, M. Mirmirani, and H. Boussalis, “Robust adaptive sliding control of linearizable systems”, in Proc. of American Control Conference, pp. 4351-4356, Arlington, Virginia, June 2001.