Controlling the Angle of Attack of an Aircraft Using Genetic Algorithm Based Flight Controller
In this paper, the unstable angle of attack of a
FOXTROT aircraft is controlled by using Genetic Algorithm based
flight controller and the result is compared with the conventional
techniques like Tyreus-Luyben (TL), Ziegler-Nichols (ZN) and
Interpolation Rule (IR) for tuning the PID controller. In addition, the
performance indices like Mean Square Error (MSE), Integral Square
Error (ISE), and Integral Absolute Time Error (IATE) etc. are
improved by using Genetic Algorithm. It was established that the
error by using GA is very less as compared to the conventional
techniques thereby improving the performance indices of the
dynamic system.
[1] Chang, P.H. and Jung, J.H., “A systematic method for gain selection of
robust PI control for nonlinear plants of second-order controller
canonical form”, IEEE Transactions on Control Systems Technology,
Vol. 17, March, No. 2, 2009, pp.473-483.
[2] Gracey, W., “Summary of methods of measuring angle of attack on
"aircraft”, NACA Technical Note (NASA Technical Reports) (NACATN-
4351), 1958, pp.1-30.
[3] Grimholt, C., “Verification and improvement of SIMC method for PI
control’, Technical report”, Department of Chemical Engineering,
Norwegian University of Science and Technology, 2010.
[4] Haugen, F., “Comparing PI Tuning methods in a real benchmark
temperature control system’, Modeling, Identification and Control”, Vol.
31, No. 3, 2010, pp.79–91.
[5] Henrik, M., “Extensions of Skogestad’s SIMC tuning rules to oscillatory
and unstable processes”, 19 December, 2005, pp.1–65.
[6] Jafarov, E.M., Parlakci, M.N.A. and Istefanopulos, Y., “A new variable
structure PID controller design for robot manipulators”, IEEE
Transactions on Control Systems Technology, Vol. 13, January, No. 1,
2005, pp.122–130.
[7] Shamsuzzoha, M. and Skogestad, S., “The setpoint overshoot method: a
simple and fast method for closed loop PID tuning”, J. Process Control,
Vol. 20, No. 10, 2010, pp.1220-34.
[8] Wu, L., Wang, Y., Zhou, S. and Tan, W., “Design of PID controller with
incomplete derivation based on differential evolution algorithm”,
Journal of Systems Engineering and Electronics, June, Vol. 19, No. 3,
2008, pp.578-583.
[9] Yordanova, S. and Haralanova, E., “Design and implementation of
robust multivariable PI like fuzzy logic controller for aerodynamic
plant”, IJAIP, Vol. 3, Nos. 3/4, 2011, pp.257-272.
[10] H. Bevrani, S. Shokoohi, “Robust stabilizer feedback loop design for a
radio-frequency amplifier”, IEEE International Conference on Control
Applications, pp. 2250-2255, Sept. 2010.
[11] S. Skogestad, “Simple analytic rules for model reduction and PID
controller tuning, Journal of Process Control”, Vol. 13, pp. 291-309,
July 2003.
[12] David Di Ruscio, “On Tuning PI Controllers for Integrating plus Time
Delay Systems, Modeling, Identification and Control”, Vol. 31, issue: 4,
pp: 145-164, 2010.
[13] Ali, A., Majhi, S., “PI/PID controller design based on IMC and
percentage overshoot specification to controller set point change” ISA
Transactions, Vol.48, Issue: 1, Jan. 2009, Pages 10-15.
[14] Neath, M.J.; Swain, A.K.; Madawala, U.K.; Thrimawithana, D.J.,”An
Optimal PID Controller for a Bidirectional Inductive Power Transfer
System Using Multiobjective Genetic Algorithm”, Power Electronics,
IEEE Transactions on, Year: 2014, Volume: 29, Issue: 3, pp: 1523 –
1531.
[15] Devaraj, D.; Selvabala, B., “Real-coded genetic algorithm and fuzzy
logic approach for real-time tuning of proportional-integral -
derivative controller in automatic voltage regulator system”, Generation,
Transmission & Distribution, IET, Year: 2009, Volume: 3, Issue: 7,
pp: 641 – 649.
[16] Whidborne, J.F.; Istepanian, R.S.H., “Genetic algorithm approach to
designing finite-precision controller structures”,Control Theory and
Applications, IEE Proceedings, Year: 2001, Volume: 148, Issue: 5,
pp: 377 – 382.
[17] McLean, D., “Automatic Flight Control System”, Prentice Hall
International Ltd., UK, 1990, pp.17–79.
[18] Kelvin M. Passino, “Biomimicry for optimization, control and
automation”, Department of Electrical and Computer Engineering, 416
Dreese Laboratories, The Ohio State University, 2015 Neil Ave.,
Columbus, OH 43210, USA.
[1] Chang, P.H. and Jung, J.H., “A systematic method for gain selection of
robust PI control for nonlinear plants of second-order controller
canonical form”, IEEE Transactions on Control Systems Technology,
Vol. 17, March, No. 2, 2009, pp.473-483.
[2] Gracey, W., “Summary of methods of measuring angle of attack on
"aircraft”, NACA Technical Note (NASA Technical Reports) (NACATN-
4351), 1958, pp.1-30.
[3] Grimholt, C., “Verification and improvement of SIMC method for PI
control’, Technical report”, Department of Chemical Engineering,
Norwegian University of Science and Technology, 2010.
[4] Haugen, F., “Comparing PI Tuning methods in a real benchmark
temperature control system’, Modeling, Identification and Control”, Vol.
31, No. 3, 2010, pp.79–91.
[5] Henrik, M., “Extensions of Skogestad’s SIMC tuning rules to oscillatory
and unstable processes”, 19 December, 2005, pp.1–65.
[6] Jafarov, E.M., Parlakci, M.N.A. and Istefanopulos, Y., “A new variable
structure PID controller design for robot manipulators”, IEEE
Transactions on Control Systems Technology, Vol. 13, January, No. 1,
2005, pp.122–130.
[7] Shamsuzzoha, M. and Skogestad, S., “The setpoint overshoot method: a
simple and fast method for closed loop PID tuning”, J. Process Control,
Vol. 20, No. 10, 2010, pp.1220-34.
[8] Wu, L., Wang, Y., Zhou, S. and Tan, W., “Design of PID controller with
incomplete derivation based on differential evolution algorithm”,
Journal of Systems Engineering and Electronics, June, Vol. 19, No. 3,
2008, pp.578-583.
[9] Yordanova, S. and Haralanova, E., “Design and implementation of
robust multivariable PI like fuzzy logic controller for aerodynamic
plant”, IJAIP, Vol. 3, Nos. 3/4, 2011, pp.257-272.
[10] H. Bevrani, S. Shokoohi, “Robust stabilizer feedback loop design for a
radio-frequency amplifier”, IEEE International Conference on Control
Applications, pp. 2250-2255, Sept. 2010.
[11] S. Skogestad, “Simple analytic rules for model reduction and PID
controller tuning, Journal of Process Control”, Vol. 13, pp. 291-309,
July 2003.
[12] David Di Ruscio, “On Tuning PI Controllers for Integrating plus Time
Delay Systems, Modeling, Identification and Control”, Vol. 31, issue: 4,
pp: 145-164, 2010.
[13] Ali, A., Majhi, S., “PI/PID controller design based on IMC and
percentage overshoot specification to controller set point change” ISA
Transactions, Vol.48, Issue: 1, Jan. 2009, Pages 10-15.
[14] Neath, M.J.; Swain, A.K.; Madawala, U.K.; Thrimawithana, D.J.,”An
Optimal PID Controller for a Bidirectional Inductive Power Transfer
System Using Multiobjective Genetic Algorithm”, Power Electronics,
IEEE Transactions on, Year: 2014, Volume: 29, Issue: 3, pp: 1523 –
1531.
[15] Devaraj, D.; Selvabala, B., “Real-coded genetic algorithm and fuzzy
logic approach for real-time tuning of proportional-integral -
derivative controller in automatic voltage regulator system”, Generation,
Transmission & Distribution, IET, Year: 2009, Volume: 3, Issue: 7,
pp: 641 – 649.
[16] Whidborne, J.F.; Istepanian, R.S.H., “Genetic algorithm approach to
designing finite-precision controller structures”,Control Theory and
Applications, IEE Proceedings, Year: 2001, Volume: 148, Issue: 5,
pp: 377 – 382.
[17] McLean, D., “Automatic Flight Control System”, Prentice Hall
International Ltd., UK, 1990, pp.17–79.
[18] Kelvin M. Passino, “Biomimicry for optimization, control and
automation”, Department of Electrical and Computer Engineering, 416
Dreese Laboratories, The Ohio State University, 2015 Neil Ave.,
Columbus, OH 43210, USA.
@article{"International Journal of Information, Control and Computer Sciences:71458", author = "S. Swain and P. S Khuntia", title = "Controlling the Angle of Attack of an Aircraft Using Genetic Algorithm Based Flight Controller", abstract = "In this paper, the unstable angle of attack of a
FOXTROT aircraft is controlled by using Genetic Algorithm based
flight controller and the result is compared with the conventional
techniques like Tyreus-Luyben (TL), Ziegler-Nichols (ZN) and
Interpolation Rule (IR) for tuning the PID controller. In addition, the
performance indices like Mean Square Error (MSE), Integral Square
Error (ISE), and Integral Absolute Time Error (IATE) etc. are
improved by using Genetic Algorithm. It was established that the
error by using GA is very less as compared to the conventional
techniques thereby improving the performance indices of the
dynamic system.", keywords = "Angle of Attack, Genetic Algorithm, Performance
Indices, PID Controller.", volume = "9", number = "8", pages = "2011-8", }
