Integrated Package Software for Multi-copter Flight Simulation

DroneV 4.0   

To learn more, click  here

The Operation Windows  and User Manuals are All Described in English


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自動的に生成された説明

 

DroneV is a package software for simulating flight performance such as cruising range, acceleration and maximum speed of drones.

 

While the general-purpose 1DCAE tool builds a model by combining sub-models and modules created using many optional product groups

 

for system level simulation of drones, Drone V3 has the series functions from creating aircraft model , flight mode file, payload file, and wind files

 

 required for system level simulation to  output flight results.

 

 


Wha’s New @V4.0

DroneV4.0 supports to simulate  the flight of multi-copters that use contra-rotating rotor unit, which has two rotors arranged in

 

upper and lower stages to obtain large thrust for transporting and delivering goods. The upper and lower rotors of each rotor set are

 

each driven by independent motors to control the vehicle's pitching, rolling, and yawing attitude, as well as altitude or velocity.

時計が付いている|||p

低い精度で自動的に生成された説明    時計と文字の加工写真

低い精度で自動的に生成された説明

Hexa-copter with contra rotating rotors                 Click the Figure Above to Watch the YouTube Movie

 

 

(1) How to Model the Contra-Rotating Rotor

 

1.   Thrust Stand Test of the Contra-Rotating Rotor Unit

 

 Measure the thrust , torque, and speed of the upper and lower rotor using a commercially available or

 

in-house thrust stand.

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自動的に生成された説明  グラフ, 折れ線グラフ

自動的に生成された説明 

Schematic of Thrust Stand                       Example of Thrust Stand Test Data

 

2. Modeling Applying Propeller Momentum Theory for Contra-Rotating Rotor

 

Referring to the thrust stand test data entered in Excel sheet to create the aerodynamic model

 

of contra-rotating rotor, determine some parameters in the model.

.

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(2) Control of the Rotor Speed

 

1.  Pitching, Rolling, and Altitude or Velocity of the Vehicle

 

The attitude angles except for yawing and altitude of the vehicle are controlled by the relative difference

 

in the total thrust of the upper and lower rotor Thn between each rotor set.

 

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Rotating Motion of All Rotors in Contra-Rotating Rotor System

 

2.  Yawing

 

The main purpose of using contra-rotating rotors in airplanes and helicopters is to cancel the reaction torque of 

 

the two rotors. However, if two rotors with a same pitch are arranged in series and rotated at a same speed,

 

differences in thrust and torque between the two rotors will appear. Therefore, a variable pitch mechanism is

 

required to solve this problem.

 

On the other hand, fixed pitch rotors are used in multi-copters in pursuit of weight reduction and mechanical simplicity,

 

but the speed can be controlled by an independent motor for each rotor instead, and Yawing torque can be controlled

 

by the differential speed of the upper and lower rotors.

 

  The control target is yawing angular velocity or yawing torque, and the manipulated variable is the rotational speed

 

difference Δω between the upper and lower rotors, and there are three control methods when the target yawing torque

 

is zero, as shown below.

 

Speed-Based Control

 

Speed difference Δω = 0, and although the reaction torque is not balanced for the individual rotor set, the overall vehicle is balanced.

 

Torque-Based Control

 

Based on torque difference Δtq=0 to balance the torque in each rotor set,  but the speeds of the two rotors are different.

 

Thrust-Based Control

 

Thrust difference Δth = 0, and although the reaction torque is not balanced for the individual rotor set, the overall vehicle is balanced.

 

The operating conditions (thrust, speed, and torque) of each rotor will differ depending on the control methods above.

 

3.  Comparison of Rotor Operating Conditions(Thrust/Speed/Torque) by Yawing Control Method

 

The simulation results using a Hexa-copter model are shown below.

 

a)   Hovering

 

Figure a) below shows the operational data of the #1 rotor set when the vehicle  with its center of gravity on the Z-axis is hovering

 

 in a windless environment. Comparing the upper and lower (U, L) rotors, it can be seen that in speed-based control, the speed of both

 

rotors is the same, in torque-based control, the torque is the same, and in thrust-based control, the thrust is the same as well.

 

b)  Forward Flight

 

Figure b) shows the operational conditions of  #1 to #6 rotor set when the vehicle of which center of gravity offset from the Z-axis

 

flying horizontally forward., using speed-based control or torque-based control.

 

In this case, there are differences in the thrust of each rotor set in order to control the pitching and rolling attitudes. Then the yawing torque

 

is generated due to unbalancing of *drag force acting on each rotor and gravity acting on the forward-leaning vehicle, and the upper and lower

 

rotors are differentially operated to maintain the yawing angle.

 

It can be seen that there are differences in operating conditions between speed-based control and torque-based control.

 

*Drag force: Resistance force which is parallel to the rotor rotational plane and acts in the opposite direction to the flight direction  

 

グラフ, 棒グラフ

自動的に生成された説明  グラフ, 棒グラフ

自動的に生成された説明

a)    Hovering                                                                                                                                                                                            b) Forward Flight

 

 

(3) Comparison of Power Consumption between Contra-Rotating Rotor and Single Rotor

 

The table below shows a comparison of the power consumption of a Quad-copter with contra-rotating rotor and a Octo-copter

 

with single-rotor, both of which have rotors with the same specifications.

 

In order to eliminate the effects of losses in the motor and ESC, the total power consumed by the eight rotor is shown instead of

 

electric power consumption in the comparison.

 

In the table, it can be noticed that the single rotor consumes about 13-14% less power in both hovering and forward flight.

 

Like this example, if the total rotor rotating area is the same, the rotor efficiency (N/kW) will generally be higher for a single rotor.

 

So, when using contra-rotating rotors, it can be said that consideration on rotor efficiency by simulations should be made advance.

 

                                                 Comparison of Power between Contra Rotating and Single

Vehicle Type

Num. of Rotor

Rotor Dia.

Differential Control Method

Hovering

Forward Flight(10m/s)

Quad-copter

(Dual) x (4) =8

0.51m

Speed Base

5.853kW

5.423kW

Torque Base

5.86kW

5.454kW

Octo-copter

(Single) x(8)=8

0.51m

5.084kW

4.655kW

 

 


Wha’s New @V3.3

 

The fault tolerance of the vehicle can be evaluated.

Please watch!

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自動的に生成された説明   グラフィカル ユーザー インターフェイス が含まれている画像

自動的に生成された説明  グラフィカル ユーザー インターフェイス, テキスト, アプリケーション, メール

自動的に生成された説明  グラフィカル ユーザー インターフェイス, テキスト, アプリケーション, メール

自動的に生成された説明

            ↑                                                                                                    ↑                             ↑

Click pictures above to watch the movie                

 

 

It is possible to predict whether the vehicle can fly stably at the target speed (X, Y, Z direction) maintaining the appropriate yaw, pitch,

 

and roll angles by reconstructing the thrust distribution of each rotor, when either rotor is damaged and lost the thrust.

 

Up to 2 damaged rotors can be selected by GUI.

 

Features Fault Tolerance Prediction Method of DroneV

 

In general, Dynamic Modeling and differential equation solvers such as Matlab/Simulink are used for motion analysis of drones.

 

 On the other hand, DroneV uses Kinematic Modeling and inverse analysis with a non-linear simultaneous equation solver

 

 to find the solution of the rotor thrust distribution for the vehicle to maintain the dynamic balance at each time step.

 

Expressing the difference between the two methods in simple manner, Dynamic Modeling reproduces the process of controlling

 

the thrust distribution of each rotor sensing the response of flight speed and attitude, while DroneV determines directly

 

the thrust distribution to enable the vehicle to maintain a stable attitude in target speed, and if no solution is found, it is determined

 

that the stable flight is impossible.

 

Therefore, DroneV is suitable for applications that require many case studies, such as fault tolerance prediction, because it does not

 

require creating a control program , moreover the computational load is small.

 


Wha’s New @V3.2

Support vehicle models equipped with variable pitch propeller (VPP)

 

Fixed pitch propeller (FPP: Fixed Pitch Propeller) and variable pitch propeller (VPP: Variable Pitch Propeller) can be selected.

 

Currently, many drones use FPP, but in the future, especially large drones and sky cars will be expected to have VPP’s for higher propeller efficiency

 

over a wide flight speed range than conventional FPP.

 

V3.2 provides the simulation of the flight of an aircraft equipped with VPP in addition to the conventional FPP.

 

Support centrally-powered models installed a power source in the center of the aircraft

 

Since VPP-equipped models are available, a ‘centrally-powered’ model mounting a power source(engine or a motor) in the center, and drives propellers

 

via power transmission system Is added to vehicle configuration options.

 

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What’s New @V3.1

 

(1) Motor drive system option

 

Sine wave drive , voltage phase vector control, and field weakening control in high speed area was assumed.

                   ↓

Support a square wave drive, fixed voltage advance control, and without field weakening control in high speed area.

 

(2)  Support motor efficiency map input

Both motor and inverter efficiency maps can be created by MS-Excel in a vehicle model.

 

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Basic Features of the Product

 

Possible to fly a three-dimensional flight course while changing the attitude (yaw, pitch, and roll).

 

-The flight of vehicle even with complicated flight patterns can be simulated without detailed programming

 

such as a motor control, because of applying an inverse analysis method

 

An impact of  the crosswinds defined with a three-dimensional vector can be predicted.

 

3D coordinates of the center of gravity and aerodynamic center can be defined, and the allowable center of

 

gravity position range for safety flight can be predicted.

 

Flight course can be defined by either time to X, Y, Z direction velocity component or time to X, Y, Z spatial position.

 

-In the case of the course by position input, the specified points can be connected with spline curves, corner R and  straight lines, or straight lines.

 

Moreover, the flight speed is automatically determined for each route to pass the specified position point at the specified time.  

 

To learn more, click  here

 


Technical Report

Technical Report:  High Power & Low Emission Engine for Next Generation Hybrid Drone

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