Robust PID Controller Design for a Modern Type Aircraft Including Handling Quality Evaluation

Salem, M.M.M.; Ashtiani, Mohammad Ali Shahi

doi:10.11648/j.ajae.20140101.11

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…12 This controller is often implemented to enhance the response times of systems with first- or second-order characteristics. 13 The PID controller is popular because its simple structure can be easily applied with sufficient performance.…”

Section: Introductionmentioning

confidence: 99%

Proportional-derivative linear quadratic regulator controller design for improved longitudinal motion control of unmanned aerial vehicles

Yit

Rajendran

Wee

2016

International Journal of Micro Air Vehicles

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This study investigates the longitudinal motion control of unmanned aerial vehicles through a simulation in MATLAB. The linear model of an unmanned aerial vehicle is applied to controllers to explicate the longitudinal motion of the unmanned aerial vehicle. The ideal performance for an unmanned aerial vehicle is to achieve the desired response instantly with 100% precision. However, currently available controllers need further improvements. Thus, a proportional-derivative linear quadratic regulator controller is developed and compared with a proportional-integral-derivative controller, a linear quadratic regulator controller, and a proportional linear quadratic regulator controller. The proportional-derivative linear quadratic regulator controller enhances the response of the system by reducing settling time by more than 95% compared with other available controllers. Additionally, the proportional-derivative linear quadratic regulator improves the root mean square error by almost 50% compared with the proportional linear quadratic regulator controller and improves rise time by almost 96% with reasonable overshoot.

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Section: Introductionmentioning

confidence: 99%

Proportional-derivative linear quadratic regulator controller design for improved longitudinal motion control of unmanned aerial vehicles

Yit

Rajendran

Wee

2016

International Journal of Micro Air Vehicles

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“…5. (PI) 2 and D activities were chosen in the following form: For the selected sampling time T = 0.4 ms, the transfer function (8) and (9) are:…”

Section: An Illustrative Examplementioning

confidence: 99%

“…However, in recent years, PID controllers have been used to improve the dynamic characteristics of the aircraft flight [5][6][7]. PID controllers are widely used, partly because they are effective and partly because of their simple structure and robust performance in a wide range of operating conditions [8]. Often, the fuzzy logic controller is used alone or to optimize the design of the PID controller [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Control for Longitudinal Aircraft Dynamics

Iskrenovic-Momcilovic¹

2018

JAMRIS

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The control of the longitudinal aircraft dynamics is challenging because the mathematical model of aircraft is highly nonlinear. This paper considers a sliding mode control design based on linearization of the aircraft, with the pitch angle and elevator deflection as the trim variables. The design further exploits the decomposition of the aircraft dynamics into its short-period and phugoid approximations. The discrete-time variable structure system synthesis is performed on the base of the elevator transfer function short-period approximation. This control system contains a sliding mode controller, an observer, based on nominal aircraft model without finite zero and two additional control channels for the aircraft and for the aircraft model. The realised system is stable and robust for parameter and external disturbances.

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“…Proportional-integral-derivative (PID) control, which is a classical form of control, has been applied to flight control law to improve the response time of the systems. 2 This kind of classical control method has a simple structure that is easy to engineer, but it is difficult for it to meet UAVs performance requirements because of its single-input, singleoutput characteristic. Compared to classical control, modern control theory further improves the performance of the control system.…”

Section: Introductionmentioning

confidence: 99%

Flight control law of unmanned aerial vehicles based on robust servo linear quadratic regulator and Kalman filtering

Zhi

Gaoshang

Song

et al. 2017

International Journal of Advanced Robotic Systems

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A new flight control law for unmanned aerial vehicles based on robust servo linear quadratic regulator control and Kalman filtering is proposed. This flight control law has a simple structure with high dependability in engineering. The pitch angle controller, which is designed based on the robust servo linear quadratic regulator control, is given to show the flight control law. Simulation results show that the pitch angle controller works well under noise-free conditions. Finally, Kalman filtering is applied to the pitch angle controller under noisy conditions, and the simulation results show that the proposed method reduces the influence of noise.

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Robust PID Controller Design for a Modern Type Aircraft Including Handling Quality Evaluation

Cited by 6 publications

References 9 publications

Proportional-derivative linear quadratic regulator controller design for improved longitudinal motion control of unmanned aerial vehicles

Proportional-derivative linear quadratic regulator controller design for improved longitudinal motion control of unmanned aerial vehicles

Sliding Mode Control for Longitudinal Aircraft Dynamics

Flight control law of unmanned aerial vehicles based on robust servo linear quadratic regulator and Kalman filtering

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