Abstract:A control law for a helicopter in low-speed flight is designed using the linear quadratic Gaussian/loop transfer recovery method. The specifications are adapted from a subset of the U.S. Army helicopter handling qualities requirements. The design model consists of the rigid-body dynamics linearized about the 30 kt forward flight condition, together with a simplified, low-order representation of actuator and rotor dynamics. Evaluation is performed using higher-order models, obtained by linearization about sever… Show more
“…However it does not provide a systematic way to consider uncertainties, disturbance, input saturation and cross-couplings among channels, [8]. Thereafter, researchers used multivariable techniques for design of stability augmentation and guidance systems for helicopter, such as Eigenstructure Assignment [9], LQG/LQG [10], µ -synthesis [11], H 2 [12], and H ∞ [13][14][15][16]. Among MIMO approaches, H ∞ theory is the most widely used in recent decade as it provides robust stability for systems subject to uncertainty and disturbance.…”
Section: Introductionmentioning
confidence: 99%
“…Control design for unmanned helicopter has been considered as a challenge in aeronautical field over decades [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The main difficulties, in designing controllers for UAH, can be generally characterized as underactuated, cross-coupled, large uncertainties, openloop instabilities and highly nonlinear dynamics, [2,3,5].…”
Section: Introductionmentioning
confidence: 99%
“…In spite of all these challenges, a number of researchers have worked on designing UAHs and wide set of design techniques, from classical control to neuralbased adaptive control, [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], have been reported. Among early control technique, one-loop-at-a-time control design methods, based on classical single input single output (SISO) techniques with a proportionalplus-integral (PI) configuration are the most widely used [5][6][7][8].…”
In this paper, a novel multi-mode flight control strategy for unmanned helicopter, in presence of model uncertainty, atmospheric disturbances and handling qualities specification requirements (as in ADS-33E), based on multi-loop control structure combining robust H-infinity and PI control is presented. In inner loop H-infinity optimal control technique is utilized ensuring the stability of flight control system in case of change of helicopter dynamics, model uncertainties and eliminates effect of gust disturbance on helicopter states and collective/cyclic inputs. PI control in outer loop is used to improve the dynamic and static operation characteristics. Attitude control and attitude holding flight mode with satisfactory command response and decoupling characteristics is designed using the proposed control strategy. Analysis and simulation results show that Level 1 handling requirements as defined in ADS-33E are accomplished even when helicopter is under constant wind circumstance.
“…However it does not provide a systematic way to consider uncertainties, disturbance, input saturation and cross-couplings among channels, [8]. Thereafter, researchers used multivariable techniques for design of stability augmentation and guidance systems for helicopter, such as Eigenstructure Assignment [9], LQG/LQG [10], µ -synthesis [11], H 2 [12], and H ∞ [13][14][15][16]. Among MIMO approaches, H ∞ theory is the most widely used in recent decade as it provides robust stability for systems subject to uncertainty and disturbance.…”
Section: Introductionmentioning
confidence: 99%
“…Control design for unmanned helicopter has been considered as a challenge in aeronautical field over decades [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The main difficulties, in designing controllers for UAH, can be generally characterized as underactuated, cross-coupled, large uncertainties, openloop instabilities and highly nonlinear dynamics, [2,3,5].…”
Section: Introductionmentioning
confidence: 99%
“…In spite of all these challenges, a number of researchers have worked on designing UAHs and wide set of design techniques, from classical control to neuralbased adaptive control, [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], have been reported. Among early control technique, one-loop-at-a-time control design methods, based on classical single input single output (SISO) techniques with a proportionalplus-integral (PI) configuration are the most widely used [5][6][7][8].…”
In this paper, a novel multi-mode flight control strategy for unmanned helicopter, in presence of model uncertainty, atmospheric disturbances and handling qualities specification requirements (as in ADS-33E), based on multi-loop control structure combining robust H-infinity and PI control is presented. In inner loop H-infinity optimal control technique is utilized ensuring the stability of flight control system in case of change of helicopter dynamics, model uncertainties and eliminates effect of gust disturbance on helicopter states and collective/cyclic inputs. PI control in outer loop is used to improve the dynamic and static operation characteristics. Attitude control and attitude holding flight mode with satisfactory command response and decoupling characteristics is designed using the proposed control strategy. Analysis and simulation results show that Level 1 handling requirements as defined in ADS-33E are accomplished even when helicopter is under constant wind circumstance.
“…At present, many modern control theories such as eigenstructure assignment (EA) [1][2], H ∞ robust control [3][4], quantitative feedback theory (QFT) [5][6], dynamic inversion and linear quadratic gauss (LQG) [7][8][9] have been successfully applied to flight control laws design for specified helicopters (see [1][2][3][4][5][6][7][8][9]). Besides, the classical full-flight-envelop method is still widely used in engineering projects due to its simplicity and mature.…”
In order to design full-envelop flight control law for a certain helicopter, a novel method based on multi-objective genetic algorithm (MOGA) is put forward. In this method, the design of flight control law is viewed as a multi-objective optimization problem(MOP) where obtaining optimal performances in each designed flight envelop are treated as subobjective and that in all designed flight envelop as objective, flight control law's parameters to be searched as decision variables, corresponding performance criteria as constraints. For the MOP, MOGA is used to get the optimal parameters of flight control law in all designed flight envelops. Finally, the novel method is applied to the flight control law's design for the helicopter's pitch motion, the simulation results show that the parameters are feasible and the performances are satisfactory, which further prove that the method is effective.
“…The control problem has been tackled using different approaches ranging from linear quadratic control [6], eigenstructure assignment [7], classical SISO techniques [8], to sliding mode control [9]. Apart from the methods emphasised above there are many other techniques which are reported for complex modern control system design ranging from quantitative feedback theory to singular perturbation method [10].…”
This paper describes the stability analysis of a helicopter with an underslung external load system. The Lyapunov second method is considered for the stability analysis. The system is considered as a cascade connection of uncertain nonlinear system. The stability analysis is conducted to ensure the stabilisation of the helicopter system and the positioning of the underslung load at hover condition. Stability analysis and numerical results proved that if desired condition for the stability is met, then it is possible to locate the load at the specified position or its neighbourhood.
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