Multirotor design optimization using a genetic algorithm

Arellano-Quintana, Victor; Portilla-Flores, Edgar Alfredo; Merchán-Cruz, Emmanuel Alejandro; Niño-Suárez, Paola Andrea

doi:10.1109/icuas.2016.7502564

Cited by 17 publications

(12 citation statements)

References 15 publications

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“…In practice, there is no uniform standard to evaluate the design of a multicopter. According to [19,20], the multicopter design optimization problem is essentially a multiobjective optimization problem, so an "optimal design" should fully consider all factors concerned by designers and customers. Therefore, an objective function J = f J (Θ out ) is proposed in this paper to evaluate the obtained multicopter designs and find the optimal Θ * out .…”

Section: Optimization Objectivesmentioning

confidence: 99%

“…Therefore, an objective function J = f J (Θ out ) is proposed in this paper to evaluate the obtained multicopter designs and find the optimal Θ * out . Compared to the objective functions in [19,20], two improvements are introduced in this paper. First, the normalization operation is applied to each evaluation index, which makes it easier to determine the weight factor according to the preferences of designers.…”

Section: Optimization Objectivesmentioning

confidence: 99%

“…For example, in [17,18], the multicopter optimization problem was described as a mixed-integer linear program and solved with the CPLEX optimizer. In [19], the design optimization problem was solved based on discrete-integer and continuous variables with the objectives of efficiency and flight time. In [20], based on knowledge-based engineering techniques, a design method was proposed to find a multicopter design with the minimum cost and maximum payload.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design Automation and Optimization Methodology for Electric Multicopter UAVs

Dai¹,

Quan²,

Cai³

2019

Preprint

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The traditional multicopter design method usually requires a long iterative process to find the optimal design based on given performance requirements. The method is uneconomical and inefficient. In this paper, a practical method is proposed to automatically calculate the optimal multicopter design according to the given design requirements including flight time, altitude, payload capacity, and maneuverability. The proposed method contains two algorithms: an offline algorithm and an online algorithm. The offline algorithm finds the optimal components (propeller and electronic speed controller) for each motor to establish its component combination, and subsequently, these component combinations and their key performance parameters are stored in a combination database. The online algorithm obtains the multicopter design results that satisfy the given requirements by searching through the component combinations in the database and calculating the optimal parameters for the battery and airframe. Subsequently, these requirement-satisfied multicopter design results are obtained and sorted according to an objective function that contains evaluation indexes including size, weight, performance, and practicability. The proposed method has the advantages of high precision and quick calculating speed because parameter calibrations and time-consuming calculations are completed offline. Experiments are performed to validate the effectiveness and practicality of the proposed method. Comparisons with the brutal search method and other design methods demonstrate the efficiency of the proposed method.

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Section: Optimization Objectivesmentioning

confidence: 99%

Section: Optimization Objectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design Automation and Optimization Methodology for Electric Multicopter UAVs

Dai¹,

Quan²,

Cai³

2019

Preprint

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“…Those subjects have been addressed by many researchers working on unmanned aerial vehicles (UAVs) -especially within several contexts such as the control algorithms [1], [9], optimization of the UAV's construction [3] or ensuring fault-tolerant control [20]. Many of those solutions are inspired on ideas used for fixed-wing UAVs [7], [27].…”

Section: Introductionmentioning

confidence: 99%

Rotational speed control of multirotor UAV's propulsion unit based on fractional-order PI controller

Giernacki

Sadalla

Gośliński

et al. 2017

2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)

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“…Electrical drive units of multirotor unmanned aerial vehicles (UAVs) have simple mechanical construction and possibilities hidden in their control. In addition, by using appropriate drive units [17] with proper dimensions, placement, orientation, and ensuring appropriate torque and thrust control, by controlling the rotational speeds of the UAV's rotors, this hidden potential can be exploited [18,19]. The problem of rotational speed control of propellers is not frequently addressed, but by keeping the real rotational speed of a particular propeller in accordance with a reference value of this speed, full stability and complete control over the multirotor at minimum energy consumption can be achieved [20].…”

Section: Introductionmentioning

confidence: 99%

Stability region of a simplified multirotor motor–rotor model with time delay and fractional-order PD controller

2017

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The main aim of this paper is to present stability region analysis for a closed-loop system with the second-order model with a time delay and continuous-time fractional-order proportionalderivative (PD) controller. The model of the plant used in the paper approximates the dynamics of a simplified motor-rotor model of multirotor's propulsion system. The controller tuning method is based on Hermite-Biehler and Pontryagin theorems. The tracking performance is also analysed in the paper by observing the integral of absolute error and integral of squared error indices. The presented results are expected to be useful in future when comparing simulation with experimental results.

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Multirotor design optimization using a genetic algorithm

Cited by 17 publications

References 15 publications

Design Automation and Optimization Methodology for Electric Multicopter UAVs

Design Automation and Optimization Methodology for Electric Multicopter UAVs

Rotational speed control of multirotor UAV's propulsion unit based on fractional-order PI controller

Stability region of a simplified multirotor motor–rotor model with time delay and fractional-order PD controller

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