Non-linear simulation of controller for longitudinal control augmentation system of F-16 using numerical approach

Rachman, Endri; Jaam, Jihad Mohamad; Hasnah, Ahmad

doi:10.1016/j.ins.2003.09.013

Cited by 17 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During the flight the angles and the behavior of the elevator, aileron and rudder can change and these changes and movement are shown in Figs. 20,21,22 and 23. This last figure presented the simulation with 40,000 ft in altitude and changes in the velocity and in the perturbations in the angle is noteworthy the behavior in the positions in the 30 s and the difference when simulation used 2,000 ft in altitude is noticeable, and also the behavior of the pitch, roll and yaw are different. In Fig.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Any aircraft is capable of performing 3 possible rotations around 3 perpendicular axes whose point of intersection is above the center of gravity of the airplane [19][20][21][22]. These rotations are Pitch, Roll and Yaw, Pitch is the type of rotation that is done on the Y axis of the plane and it can be represented as an ascent or descent of its nose.…”

Section: Background and Basic Conceptsmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Fuzzy System for Flight Control of an F-16 Airplane

Cervantes

Castillo

2014

Studies in Computational Intelligence

View full text Add to dashboard Cite

In this paper the main idea is to control the flight of an F-16 airplane using fuzzy system and PID controller to achieve the control. In general, to control the total flight is necessary to control the angle of the elevator, angle of the aileron and the angle of the rudder. For this reason, 3 fuzzy systems are used to control the respective angles. In this paper the fuzzy systems are presented with results using the simulation plant of the airplane.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Background and Basic Conceptsmentioning

confidence: 99%

Design of a Fuzzy System for Flight Control of an F-16 Airplane

Cervantes

Castillo

2014

Studies in Computational Intelligence

View full text Add to dashboard Cite

show abstract

“…J. Walker [25] in his work proposes a separated longitudinal and lateral controllers, each designed using H-infinity optimization. Rachman Endri, et al [20], in their work used non-linear simulation of controller for automatic flight control system to complete control design process. After, they used the linear approach in the design and simulation of the controller (control laws) and they simulated the controller on the non-linear real aircraft model.…”

Section: Related Workmentioning

confidence: 99%

Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane

Cervantes

Castillo

2010

Studies in Computational Intelligence

View full text Add to dashboard Cite

Abstract. In this paper we present a design of a fuzzy system for the longitudinal control of an F-14 airplane. The longitudinal control is carried out only by controlling the elevators of the airplane. To carry out such monitoring it is necessary to use the stick, the rate of elevation and the angle of attack. These 3 variables are input into the fuzzy inference system, which is of Mamdani type, and we obtain as output the value of the elevators. After designing the fuzzy inference system we turn to the simulation stage. Simulation results of the longitudinal control are obtained using a plant in Simulink and those results are compared against the PID controller.

show abstract

“…In the work of E. Rachman, J. Jaam and A. Hasnah [33], a non-linear simulation for automatic flight control system for the complete control design process is used. In addition, they used the linear approach in the design and simulation of the controller (control laws) and they simulated the controller on the non-linear real aircraft model [9].…”

Section: Introductionmentioning

confidence: 99%