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  • The Making of a DIY Brushless Gimbal With Arduino

    ehi, unfortunately I've tried to use a BLDC (3 different types 12N14P) as you suggested but they don't work at all. tried using 3 arduinos. tried connecting a driver board and without. don't work, just vibration and heat. tried to upload all the sketch you've added here. tried to uload the sketch from elabz don't work. I'm getting crazy to make a BLDC to rotatehow can I do?thanks

    the motors rotates only with DVD_three_phase_discrete_steps and change the speed if I change delay. the sketches on this website don't work at all, I've tried all the sketchesin the step 6 there are 2 very easy sketches, you say to connect motor and upload the sketches. motor only vibrates and gets hotwhy? did you test that sketches?

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  • The Making of a DIY Brushless Gimbal With Arduino

    I’ve all the stuff you’ve listed in your fantastic article, I wanna built 1 axle gimball.my problem is that my motor does not work with step 6 ( NOT ROTATES AND GETS HOT ) . The motor is an ax-2804 https://hobbyking.com/en_us/2804-210kv-brushless-gimbal-motor-ideal-for-gopro-to-compact-style-cameras.html?___store=en_usno broken wires and I use arduino megado you have some suggestion to make it works?thanks

    did you solve it?? I've the same problem

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  • The Making of a DIY Brushless Gimbal With Arduino

    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of latera...

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    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of lateral force and gravitational force (for steady-state rides). This yields the following relation, depending on lateral acceleration aY and gravity acceleration g:tanλph = FS = aY (4) FG gThe lateral acceleration aY depends on the longitudinal vehicle velocity vX and the horizontal yaw rate ψ ̇ as follow- ing (neglecting a side slip rate of the motorcycle):a Y = − v X ψ ̇ ( 5 ) Inserting equation (5) into (4) and transforming the hor- izontal yaw rate ψ ̇ into the measured body yaw rate ψ ̇V results:t a n λ p h = − v X ψ ̇ V g cos λ( 6 ) With the assumption λph = 0.9λ, equation (6) delivers the following relation between roll angle λ, longitudinal vehicle velocity vX and body yaw rate ψ ̇ V :tan(0.9λ)cosλ=−vX ψ ̇V (7) g

    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of latera...

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    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of lateral force and gravitational force (for steady-state rides). This yields the following relation, depending on lateral acceleration aY and gravity acceleration g:tanλph = FS = aY (4) FG gThe lateral acceleration aY depends on the longitudinal vehicle velocity vX and the horizontal yaw rate ψ ̇ as follow- ing (neglecting a side slip rate of the motorcycle):a Y = − v X ψ ̇ ( 5 )Inserting equation (5) into (4) and transforming the hor- izontal yaw rate ψ ̇ into the measured body yaw rate ψ ̇V results:t a n λ p h = − v X ψ ̇ V g cos λ( 6 )With the assumption λph = 0.9λ, equation (6) delivers the following relation between roll angle λ, longitudinal vehicle velocity vX and body yaw rate ψ ̇ V :tan(0.9λ)cosλ=−vX ψ ̇V (7) g

    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of latera...

    see more »

    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of lateral force and gravitational force (for steady-state rides). This yields the following relation, depending on lateral acceleration aY and gravity acceleration g:tanλph = FS = aY (4) FG gThe lateral acceleration aY depends on the longitudinal vehicle velocity vX and the horizontal yaw rate ψ ̇ as follow- ing (neglecting a side slip rate of the motorcycle):a Y = − v X ψ ̇ ( 5 ) Inserting equation (5) into (4) and transforming the hor- izontal yaw rate ψ ̇ into the measured body yaw rate ψ ̇V results:t a n λ p h = − v X ψ ̇ V g cos λ( 6 ) With the assumption λph = 0.9λ, equation (6) delivers the following relation between roll angle λ, longitudinal vehicle velocity vX and body yaw rate ψ ̇ V :tan(0.9λ)cosλ=−vX ψ ̇V (7) g

    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of latera...

    see more »

    Thanks for the helpCan you explain why for this application normally is used an accelerometer_gyro_magnetometer and a heavy algorithm called fusion to estimate pith, roll and yaw angle?In your sketch seems you easily do that using raw data from gyroTake a look here for example https://www.fzd.tu-darmstadt.de/media/fachgebiet_fzd/publikationen_3/2012_3/Schlipsing_IV_2012.pdfIII. IMU-BASED ROLL ANGLE ESTIMATIONAfter stating the involved driving dynamics, this section introduces the two approaches based on inertial sensors.A. Motorcycle Driving DynamicsOne way to calculate the roll angle λ is the integration of the roll rate λ ̇ . This is described by the following equation:λ = 􏰁 λ ̇ d t ( 3 )According to Weidele [2], the tangent of the physical roll angle λph is equal to the ratio of lateral force and gravitational force (for steady-state rides). This yields the following relation, depending on lateral acceleration aY and gravity acceleration g:tanλph = FS = aY (4) FG gThe lateral acceleration aY depends on the longitudinal vehicle velocity vX and the horizontal yaw rate ψ ̇ as follow- ing (neglecting a side slip rate of the motorcycle):a Y = − v X ψ ̇ ( 5 ) Inserting equation (5) into (4) and transforming the hor- izontal yaw rate ψ ̇ into the measured body yaw rate ψ ̇V results:t a n λ p h = − v X ψ ̇ V g cos λ( 6 ) With the assumption λph = 0.9λ, equation (6) delivers the following relation between roll angle λ, longitudinal vehicle velocity vX and body yaw rate ψ ̇ V :tan(0.9λ)cosλ=−vX ψ ̇V (7) g

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  • The Making of a DIY Brushless Gimbal With Arduino

    Hi,Io would like to buil up a 1 axle gyro camera . I am using others gyro chips to detect both yaw angle (mount side + camera side) . Imagine I already have this 2 values in deg ; it is possible to adapt your sketch to drive the motor basing on that 2 values ?Thanks

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  • The Making of a DIY Brushless Gimbal With Arduino

    many thanks for your replyBasically I am developing a gyro camera for motorbike so it is 1 axle gimbal.Do you think using 2x l3gd20 it should work, can roll angle calculation be influenced by centrifugal force during bike turning ?I can’t find a motor for 300g camera , the one you suggest seems to be no longer available Thanks again

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