Intelligent Pitch Controller Identification and Design
-
3721
Downloads
-
4647
Views
Authors
Amir Torabi
- Faculty of Electrical Engineering, Khorasan University, Mashhad, Iran.
Amin Adine Ahari
- Faculty of Electrical Engineering, Khorasan University, Mashhad, Iran.
Ali Karsaz
- Faculty of Electrical Engineering, Khorasan University, Mashhad, Iran.
Seyyed Hossin Kazemi
- Faculty of Electrical Engineering, Khorasan University, Mashhad, Iran.
Abstract
This paper exhibits a comparative assessment based on time response specification performance between modern
and classical controller for a pitch control system of an aircraft system. The dynamic modeling of pitch
control system is considered on the design of an autopilot that controls the pitch angle. It starts with a derivation
of a suitable mathematical model to describe the dynamics of an aircraft. For getting close to actual conditions
the white noise disturbance is applied to the system. In this paper, it is assumed that the model pitch control system
is not available. So using the identification system and Box-Jenkins model estimator we identify the pitch control
system. System’s identification is a procedure for accurately characterizing the dynamic response behavior of a
complete aircraft, of a subsystem, or of an individual component from measured data. To study the effectiveness of
the controllers, the LQR Controller and PID Controller and fuzzy controller is developed for controlling the
pitch angle of an aircraft system. Simulation results for the response of pitch controller are presented instep’s
response. Finally, the performances of pitch control systems are investigated and analyzed based on common
criteria of step’s response in order to identify which control strategy delivers better performance with respect to the
desired pitch angle. It is found from simulation that the fuzzy controller gives the best performance compared to
PID and LQR controller.
Share and Cite
ISRP Style
Amir Torabi, Amin Adine Ahari, Ali Karsaz, Seyyed Hossin Kazemi, Intelligent Pitch Controller Identification and Design , Journal of Mathematics and Computer Science, 8 (2014), no. 2, 113-127
AMA Style
Torabi Amir, Ahari Amin Adine, Karsaz Ali, Kazemi Seyyed Hossin, Intelligent Pitch Controller Identification and Design . J Math Comput SCI-JM. (2014); 8(2):113-127
Chicago/Turabian Style
Torabi, Amir, Ahari, Amin Adine, Karsaz, Ali, Kazemi, Seyyed Hossin. "Intelligent Pitch Controller Identification and Design ." Journal of Mathematics and Computer Science, 8, no. 2 (2014): 113-127
Keywords
- Aircraft Pitch Controller
- Fuzzy Controller
- PID
- LQR
- System Identification
MSC
References
-
[1]
N. Wahid, N. Hassan, M. F. Rahmat, Application of Intelligent Controller in Feed-back Control Loop for Aircraft Pitch Control, Australian Journal of Basic and Applied Scen-ces , (2011)
-
[2]
J. K. Shiau, D. M. Ma, An Autopilot Design for the Longitudinal Dynamics of a Low Speed Experimental UAV using Two Time Scale Cascade Decomposition, Transaction of the Canadian Society for Mechanical Engineering, Vol. 33, No. 3 (2009)
-
[3]
M. Myint, H. K. Oo, Z. M. Naing, Y. M. Myint, PID Controller for Stability of Piper Cherokee’s Pitch Displacement using MATLAB, International Conference on Sustainable Development: Issues and prospects for the GMS, China (2008)
-
[4]
M. Zugaj, J. J. Narkiewicz, Autopilot supported by Nonlinear Model Following Reconfigurable Flight Control System, Journal of Aerospace Engineering, 23 (2010), 339-347.
-
[5]
Khaleel Qutbodin, Merging Autopilot/Flight Control and Navigation-Flight Management Systems, American Journal of Engineering and Applied Sciences, (2010), 629-630.
-
[6]
N. Wahid, M. F. Rahmat, K. Jusoff, ComparativeAssesment using LQR and Fuzzy Logic Controller for a Pitch Control System, European Journal of Scientific Research, 42 (2010), 184 – 194.
-
[7]
F. C. Chen, H. K. Khalil, Two-Time-Scale Longitudinal Control of Airplanes Using Singular Perturbation, AIAA, Journal of Guidance, Navigation, and Control, 13 (1990), 952-960.
-
[8]
Ekprasit Promtun, Sridhar Seshagiri, Sliding Mode Control of Pitch Rate of an F-16 Aircraft, International Journal on Applied Science, Engineering and Technology , Vol. 5, No. 5. (2009)
-
[9]
Nurbaiti Wahid, Nurhaffizah Hassan, Self-tuning Fuzzy PID Controller Design for Aircraft Pitch Contro, Third International Conference on Intelligent Systems Modelling and Simulation, IEEE (2012)
-
[10]
S. Kamalasadan, Adel A. Ghandakly, A Neural Network Parallel Adaptive Controller for Fighter Aircraft Pitch-Rate Tracking, IEEE transaction on instrumentation d measure-ment, 258 - 267 (2011)
-
[11]
Ju Jiang, Mohamed S. Kamel, Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, IEEE (2007)
-
[12]
Kailash Krishnaswamy, George Papageorgiou, Analysis Of Aircraft Pitch Axis Stability Augmentation System Using Sum Of Squares Optimization, American Control Conference Intelligent Computation Technology and Automation, IEEE (2009)
-
[13]
Shuguo Liang, Xiaoping Chen, Bo Zhu, A Non-overshooting Pitch-Angle Regulator for Aircraft with Conventional, Aerodynamic Configuration, 2012 Fifth International Conference on Intelligent Computation Technology and Automation, transaction , IEEE (2012)
-
[14]
M. Dinesh Kumar, Design of Modern and Classical Controllers For Navion Aircraft Pitch Control System, International Conference on Computing and Control Engineering (ICCCE 2012April), (2012)
-
[15]
Yanhong Zhang, Zhongqiao Zheng, Research on the parameters self-tuning fuzzy PID controller, Second International Symposium on Knowledge Acquisition and Modeling, IEEE (2009)
-
[16]
LI Zheng , Intelligent Fuzzy Immune PID Controller Design for Multivariable Process Control System, Proceedings of the 8th World Congress on Intelligent Control and Automation , IEEE (2010)
-
[17]
Yuman Yuan, Yuguang Feng, Wenjin Gu, Fuzzy Model Reference Learning Control for Aircraft Pitch Autopilot Design, 8th International Conference on Control, Automation. Robotics and Vision China, IEEE (2004)
-
[18]
Mark B. Tischler, System Identification Methods for Aircraft Flight Control Development and Validation, Aero flight dynamics, Directorate, U.S. Army ATCOM, Ames Research Center, Moffett Field, California (1995)
-
[19]
Nurbaiti Wahid, Pitch Control System Using LQR and Fuzzy Logic Controller, IEEE Symposium on Industrial Electronics, Malaysia (2000)