Dynamic Matrix Control of a 3DOF Helicopter with Stabilising Inner Loop

Ferreira, Andreyna Sárila Ramos; Caregnato-Neto, Angelo; Galvão, Roberto Kawakami Harrop; Afonso, Rubens Junqueira Magalhães

doi:10.1007/978-3-031-10047-5_20

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…After the inequality (18) is brought in (17) to eliminate the integral term, the following can be obtained.…”

Section: Resultsmentioning

confidence: 99%

“…Step-by-step control of three-dimensional helicopters model with input and output constraints adopts enhanced state observer to estimate an unknown state, unexpected external disturbance, and modeling uncertainty [16]. The application of a dual-loop control system of a laboratory helicopter with 3DOF pitch, elevation, and flight is studied [18]. Similar examples can also be found in structural control, machine learning, and so on.…”

Section: Introductionmentioning

confidence: 99%

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Robust Attitude Control of Helicopters with Three-Degree Freedom Based on Intermittent Event-Triggered Mechanism

Zhang

2023

MATEC Web Conf.

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In the field of the widely used helicopter, this paper studies whether the helicopters with three-degree freedom (3DOF helicopters) have a new control method of stable attitude. Therefore, two research methods are adopted. One is to use intermittent control, so as to achieve control stability in a short time without its inputting. The other is to find and update the time needed to meet the next control through the event-triggered mechanism. A theorem is given to prove the feasibility of these methods, and Lyapunov’s second law is also applied in this paper to analyze the stability of the model designed for robust attitude control. Besides, we use the linear matrix inequality solver to solve the feedback gain of the controller in the theorem. Finally, through MATLAB simulation, the system error state of helicopters tends to zero under intermittent control, which highlights the advantages of short communication time and few times of simulation, thus achieving the simulation goal.

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“…After the inequality (18) is brought in (17) to eliminate the integral term, the following can be obtained.…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust Attitude Control of Helicopters with Three-Degree Freedom Based on Intermittent Event-Triggered Mechanism

Zhang

2023

MATEC Web Conf.

View full text Add to dashboard Cite

show abstract

“…Based on the step response of the controlled system, we can obtain the dynamic characteristics of the system, which are represented by the coefficients a 1 , a 2 , …, a n , corresponding to the value of the controlled system at each sampling time in the unit step response. Using the proportional superposition property, we can calculate the predicted output of the controlled system for the following n times at time k, given the step response sequence on n sampling points of the system starting from 0, by using the initial value of the output prediction of the system at time k, m continuous input increment sequences, and the dynamic matrix A composed of step response sequences [11,12]. The computational formula can be written as Equation 8, which can be simplified to Equation 9:…”

Section: Forward Model Algorithm Based On Dynamic Matrix Controlmentioning

confidence: 99%