Helicopter Control Systems: A History

Prouty, Raymond W.; Curtiss, H. C.

doi:10.2514/2.5039

Cited by 32 publications

(33 citation statements)

References 10 publications

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“…The testing results substantiate that explicit model following control guarantees excellent command tracking performance and control input decoupling, but the low order linear inverse plant model is invariant with flight conditions, which is incapable of canceling high frequency dynamics such as those associated with the main-rotor and actuators, illustrating the importance of accurate modeling of high frequency characteristics for high-bandwidth FCS [32]. Besides, unmodeled rotor dynamics and high frequency structural modes make the controller sensitive to uncertainties, which 4…”

Section: Explicit Model Following Controlmentioning

confidence: 69%

Survey on Flight Control Technology for Large-Scale Helicopter

Jinshuo

2017

International Journal of Aerospace Engineering

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A literature review of flight control technology is presented for large-scale helicopter. Challenges of large-scale helicopter flight control system (FCS) design are illustrated. Following this, various flight control methodologies are described with respect to their engineering implementation and theoretical developments, whose advantages and disadvantages are also analyzed. Then, the challenging research issues on flight control technology are identified, and future directions are highlighted.

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Section: Explicit Model Following Controlmentioning

confidence: 69%

Survey on Flight Control Technology for Large-Scale Helicopter

Jinshuo

2017

International Journal of Aerospace Engineering

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“…The fundamental functionalities of the AFCS are to stabilize and control the helicopter in automatic way. The idea of the AFCS was applied much earlier than the era of digitization has come – historical information can be found in Meyers et al (1951), Prouty and Curtiss (2003), Sissingh (1948).…”

Section: Automatic Flight Control Systemmentioning

confidence: 99%

An automatic system for a helicopter autopilot performance evaluation

Kopyt

Topczewski

Żugaj

et al. 2019

AEAT

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Purpose The purpose of this paper is to elaborate and develop an automatic system for automatic flight control system (AFCS) performance evaluation. Consequently, the developed AFCS algorithm is implemented and tested in a virtual environment on one of the mission task elements (MTEs) described in Aeronautical Design Standard 33 (ADS-33) performance specification. Design/methodology/approach Control algorithm is based on the Linear Quadratic Regulator (LQR) which is adopted to work as a controller in this case. Developed controller allows for automatic flight of the helicopter via desired three-dimensional trajectory by calculating iteratively deviations between desired and actual helicopter position and multiplying it by gains obtained from the LQR methodology. For the AFCS algorithm validation, the objective data analysis is done based on specified task accomplishment requirements, reference trajectory and actual flight parameters. Findings In the paper, a description of an automatic flight control algorithm for small helicopter and its evaluation methodology is presented. Necessary information about helicopter dynamic model is included. The test and algorithm analysis are performed on a slalom maneuver, on which the handling qualities are calculated. Practical implications Developed automatic flight control algorithm can be adapted and used in autopilot for a small helicopter. Methodology of evaluation of an AFCS performance can be used in different applications and cases. Originality/value In the paper, an automatic flight control algorithm for small helicopter and solution for the validation of developed AFCS algorithms are presented.

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“…10 This method was also considered as a reasonable representation of the key characteristics of a helicopter. 17,18 Therefore, this integrative approach is adopted to construct the dynamic rigid body combining with the sum of the forces and torques of fundamental component model. The basic 6-DOF rigid body is fixed at the centre of gravity O e .…”

Section: Modellingmentioning

confidence: 99%

Modelling and robust control of an unmanned coaxial rotor helicopter with unstructured uncertainties

Dong

Liu

et al. 2017

Advances in Mechanical Engineering

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A complete methodology for an unmanned coaxial rotor helicopter with unstructured uncertainties was proposed to achieve high-accuracy tracking performance from modelling to robust control. An integrative approach was introduced to systematically construct a whole dynamic model. The key parameters were selected carefully after iteratively being checked by empirical coefficients to decrease the budget and risk of programme. Moreover, a new control scheme is proposed to simultaneously incorporate six inputs to control six states based on the investment of singularity value responses and the general rule of relative gain array. Coprime factor uncertainty model is considered to represent a class of unstructured uncertainties, such as unmolded actuator dynamics and unpredicted interferences between two rotors. Furthermore, the H ' loop-shaping control was proposed to apply the control design of the coaxial rotor helicopter to manage complicated uncertainties and multivariable coupling. Finally, simulation results show the effectiveness of the proposed controller design in the step response of the closed loop. The stable closed-loop plant is achieved and the tolerant size of unstructured uncertainty is up to 36.09%. Good step responses and satisfied decoupling were also investigated in detail.

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Helicopter Control Systems: A History

Cited by 32 publications

References 10 publications

Survey on Flight Control Technology for Large-Scale Helicopter

Survey on Flight Control Technology for Large-Scale Helicopter

An automatic system for a helicopter autopilot performance evaluation

Modelling and robust control of an unmanned coaxial rotor helicopter with unstructured uncertainties

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