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不经意间刷到了一篇知乎问答：没有磁强计的陀螺仪能算出偏航角(Yaw)吗？，赞同数最高的答案中提到了两种姿态解算算法，MadgwickAHRS和MahonyAHRS，其中MohonyAHRS算法就是我之前一直在使用的姿态解析算法，可以参考这几篇：
MadgwickAHRS
MahonyAHRS
MohonyAHRS
MadgwickAHRS算法还没看太懂，等之后搞懂了再补充。下面的链接里有这两种算法的C代码、C#代码、MATLAB代码以及相关论文等： Open source IMU and AHRS algorithms
我这里把两种算法的C语言版本贴出来，方便以后直接复制使用。
//===================================================================================================== // MadgwickAHRS.c //===================================================================================================== // // Implementation of Madgwick's IMU and AHRS algorithms. // See: http://www.x-io.co.uk/node/8#open_source_ahrs_and_imu_algorithms // // Date Author Notes // 29/09/2011 SOH Madgwick Initial release // 02/10/2011 SOH Madgwick Optimised for reduced CPU load // 19/02/2012 SOH Madgwick Magnetometer measurement is normalised // //===================================================================================================== //--------------------------------------------------------------------------------------------------- // Header files #include "MadgwickAHRS.h" #include <math.h> //--------------------------------------------------------------------------------------------------- // Definitions #define sampleFreq 512.0f // sample frequency in Hz #define betaDef 0.1f // 2 * proportional gain //--------------------------------------------------------------------------------------------------- // Variable definitions volatile float beta = betaDef; // 2 * proportional gain (Kp) volatile float q0 = 1.0f, q1 = 0.0f, q2 = 0.0f, q3 = 0.0f; // quaternion of sensor frame relative to auxiliary frame //--------------------------------------------------------------------------------------------------- // Function declarations float invSqrt(float x); //==================================================================================================== // Functions //--------------------------------------------------------------------------------------------------- // AHRS algorithm update void MadgwickAHRSupdate(float gx, float gy, float gz, float ax, float ay, float az, float mx, float my, float mz) { float recipNorm; float s0, s1, s2, s3; float qDot1, qDot2, qDot3, qDot4; float hx, hy; float _2q0mx, _2q0my, _2q0mz, _2q1mx, _2bx, _2bz, _4bx, _4bz, _2q0, _2q1, _2q2, _2q3, _2q0q2, _2q2q3, q0q0, q0q1, q0q2, q0q3, q1q1, q1q2, q1q3, q2q2, q2q3, q3q3; // Use IMU algorithm if magnetometer measurement invalid (avoids NaN in magnetometer normalisation) if((mx == 0.0f) && (my == 0.0f) && (mz == 0.0f)) { MadgwickAHRSupdateIMU(gx, gy, gz, ax, ay, az); return; } // Rate of change of quaternion from gyroscope qDot1 = 0.5f * (-q1 * gx - q2 * gy - q3 * gz); qDot2 = 0.5f * (q0 * gx + q2 * gz - q3 * gy); qDot3 = 0.5f * (q0 * gy - q1 * gz + q3 * gx); qDot4 = 0.5f * (q0 * gz + q1 * gy - q2 * gx); // Compute feedback only if accelerometer measurement valid (avoids NaN in accelerometer normalisation) if(!((ax == 0.0f) && (ay == 0.0f) && (az == 0.0f))) { // Normalise accelerometer measurement recipNorm = invSqrt(ax * ax + ay * ay + az * az); ax *= recipNorm; ay *= recipNorm; az *= recipNorm; // Normalise magnetometer measurement recipNorm = invSqrt(mx * mx + my * my + mz * mz); mx *= recipNorm; my *= recipNorm; mz *= recipNorm; // Auxiliary variables to avoid repeated arithmetic _2q0mx = 2.0f * q0 * mx; _2q0my = 2.0f * q0 * my; _2q0mz = 2.0f * q0 * mz; _2q1mx = 2.0f * q1 * mx; _2q0 = 2.0f * q0; _2q1 = 2.0f * q1; _2q2 = 2.0f * q2; _2q3 = 2.0f * q3; _2q0q2 = 2.0f * q0 * q2; _2q2q3 = 2.0f * q2 * q3; q0q0 = q0 * q0; q0q1 = q0 * q1; q0q2 = q0 * q2; q0q3 = q0 * q3; q1q1 = q1 * q1; q1q2 = q1 * q2; q1q3 = q1 * q3; q2q2 = q2 * q2; q2q3 = q2 * q3; q3q3 = q3 * q3; // Reference direction of Earth's magnetic field hx = mx * q0q0 - _2q0my * q3 + _2q0mz * q2 + mx * q1q1 + _2q1 * my * q2 + _2q1 * mz * q3 - mx * q2q2 - mx * q3q3; hy = _2q0mx * q3 + my * q0q0 - _2q0mz * q1 + _2q1mx * q2 - my * q1q1 + my * q2q2 + _2q2 * mz * q3 - my * q3q3; _2bx = sqrt(hx * hx + hy * hy); _2bz = -_2q0mx * q2 + _2q0my * q1 + mz * q0q0 + _2q1mx * q3 - mz * q1q1 + _2q2 * my * q3 - mz * q2q2 + mz * q3q3; _4bx = 2.0f * _2bx; _4bz = 2.0f * _2bz; // Gradient decent algorithm corrective step s0 = -_2q2 * (2.0f * q1q3 - _2q0q2 - ax) + _2q1 * (2.0f * q0q1 + _2q2q3 - ay) - _2bz * q2 * (_2bx * (0.5f - q2q2 - q3q3) + _2bz * (q1q3 - q0q2) - mx) + (-_2bx * q3 + _2bz * q1) * (_2bx * (q1q2 - q0q3) + _2bz * (q0q1 + q2q3) - my) + _2bx * q2 * (_2bx * (q0q2 + q1q3) + _2bz * (0.5f - q1q1 - q2q2) - mz); s1 = _2q3 * (2.0f * q1q3 - _2q0q2 - ax) + _2q0 * (2.0f * q0q1 + _2q2q3 - ay) - 4.0f * q1 * (1 - 2.0f * q1q1 - 2.0f * q2q2 - az) + _2bz * q3 * (_2bx * (0.5f - q2q2 - q3q3) + _2bz * (q1q3 - q0q2) - mx) + (_2bx * q2 + _2bz * q0) * (_2bx * (q1q2 - q0q3) + _2bz * (q0q1 + q2q3) - my) + (_2bx * q3 - _4bz * q1) * (_2bx * (q0q2 + q1q3) + _2bz * (0.5f - q1q1 - q2q2) - mz); s2 = -_2q0 * (2.0f * q1q3 - _2q0q2 - ax) + _2q3 * (2.0f * q0q1 + _2q2q3 - ay) - 4.0f * q2 * (1 - 2.0f * q1q1 - 2.0f * q2q2 - az) + (-_4bx * q2 - _2bz * q0) * (_2bx * (0.5f - q2q2 - q3q3) + _2bz * (q1q3 - q0q2) - mx) + (_2bx * q1 + _2bz * q3) * (_2bx * (q1q2 - q0q3) + _2bz * (q0q1 + q2q3) - my) + (_2bx * q0 - _4bz * q2) * (_2bx * (q0q2 + q1q3) + _2bz * (0.5f - q1q1 - q2q2) - mz); s3 = _2q1 * (2.0f * q1q3 - _2q0q2 - ax) + _2q2 * (2.0f * q0q1 + _2q2q3 - ay) + (-_4bx * q3 + _2bz * q1) * (_2bx * (0.5f - q2q2 - q3q3) + _2bz * (q1q3 - q0q2) - mx) + (-_2bx * q0 + _2bz * q2) * (_2bx * (q1q2 - q0q3) + _2bz * (q0q1 + q2q3) - my) + _2bx * q1 * (_2bx * (q0q2 + q1q3) + _2bz * (0.5f - q1q1 - q2q2) - mz); recipNorm = invSqrt(s0 * s0 + s1 * s1 + s2 * s2 + s3 * s3); // normalise step magnitude s0 *= recipNorm; s1 *= recipNorm; s2 *= recipNorm; s3 *= recipNorm; // Apply feedback step qDot1 -= beta * s0; qDot2 -= beta * s1; qDot3 -= beta * s2; qDot4 -= beta * s3; } // Integrate rate of change of quaternion to yield quaternion q0 += qDot1 * (1.0f / sampleFreq); q1 += qDot2 * (1.0f / sampleFreq); q2 += qDot3 * (1.0f / sampleFreq); q3 += qDot4 * (1.0f / sampleFreq); // Normalise quaternion recipNorm = invSqrt(q0 * q0 + q1 * q1 + q2 * q2 + q3 * q3); q0 *= recipNorm; q1 *= recipNorm; q2 *= recipNorm; q3 *= recipNorm; } //--------------------------------------------------------------------------------------------------- // IMU algorithm update void MadgwickAHRSupdateIMU(float gx, float gy, float gz, float ax, float ay, float az) { float recipNorm; float s0, s1, s2, s3; float qDot1, qDot2, qDot3, qDot4; float _2q0, _2q1, _2q2, _2q3, _4q0, _4q1, _4q2 ,_8q1, _8q2, q0q0, q1q1, q2q2, q3q3; // Rate of change of quaternion from gyroscope qDot1 = 0.5f * (-q1 * gx - q2 * gy - q3 * gz); qDot2 = 0.5f * (q0 * gx + q2 * gz - q3 * gy); qDot3 = 0.5f * (q0 * gy - q1 * gz + q3 * gx); qDot4 = 0.5f * (q0 * gz + q1 * gy - q2 * gx); // Compute feedback only if accelerometer measurement valid (avoids NaN in accelerometer normalisation) if(!((ax == 0.0f) && (ay == 0.0f) && (az == 0.0f))) { // Normalise accelerometer measurement recipNorm = invSqrt(ax * ax + ay * ay + az * az); ax *= recipNorm; ay *= recipNorm; az *= recipNorm; // Auxiliary variables to avoid repeated arithmetic _2q0 = 2.0f * q0; _2q1 = 2.0f * q1; _2q2 = 2.0f * q2; _2q3 = 2.0f * q3; _4q0 = 4.0f * q0; _4q1 = 4.0f * q1; _4q2 = 4.0f * q2; _8q1 = 8.0f * q1; _8q2 = 8.0f * q2; q0q0 = q0 * q0; q1q1 = q1 * q1; q2q2 = q2 * q2; q3q3 = q3 * q3; // Gradient decent algorithm corrective step s0 = _4q0 * q2q2 + _2q2 * ax + _4q0 * q1q1 - _2q1 * ay; s1 = _4q1 * q3q3 - _2q3 * ax + 4.0f * q0q0 * q1 - _2q0 * ay - _4q1 + _8q1 * q1q1 + _8q1 * q2q2 + _4q1 * az; s2 = 4.0f * q0q0 * q2 + _2q0 * ax + _4q2 * q3q3 - _2q3 * ay - _4q2 + _8q2 * q1q1 + _8q2 * q2q2 + _4q2 * az; s3 = 4.0f * q1q1 * q3 - _2q1 * ax + 4.0f * q2q2 * q3 - _2q2 * ay; recipNorm = invSqrt(s0 * s0 + s1 * s1 + s2 * s2 + s3 * s3); // normalise step magnitude s0 *= recipNorm; s1 *= recipNorm; s2 *= recipNorm; s3 *= recipNorm; // Apply feedback step qDot1 -= beta * s0; qDot2 -= beta * s1; qDot3 -= beta * s2; qDot4 -= beta * s3; } // Integrate rate of change of quaternion to yield quaternion q0 += qDot1 * (1.0f / sampleFreq); q1 += qDot2 * (1.0f / sampleFreq); q2 += qDot3 * (1.0f / sampleFreq); q3 += qDot4 * (1.0f / sampleFreq); // Normalise quaternion recipNorm = invSqrt(q0 * q0 + q1 * q1 + q2 * q2 + q3 * q3); q0 *= recipNorm; q1 *= recipNorm; q2 *= recipNorm; q3 *= recipNorm; } //--------------------------------------------------------------------------------------------------- // Fast inverse square-root // See: http://en.wikipedia.org/wiki/Fast_inverse_square_root float invSqrt(float x) { float halfx = 0.5f * x; float y = x; long i = *(long*)&y; i = 0x5f3759df - (i>>1); y = *(float*)&i; y = y * (1.5f - (halfx * y * y)); return y; } //==================================================================================================== // END OF CODE //====================================================================================================
//===================================================================================================== // MahonyAHRS.c //===================================================================================================== // // Madgwick's implementation of Mayhony's AHRS algorithm. // See: http://www.x-io.co.uk/node/8#open_source_ahrs_and_imu_algorithms // // Date Author Notes // 29/09/2011 SOH Madgwick Initial release // 02/10/2011 SOH Madgwick Optimised for reduced CPU load // //===================================================================================================== //--------------------------------------------------------------------------------------------------- // Header files #include "MahonyAHRS.h" #include <math.h> //--------------------------------------------------------------------------------------------------- // Definitions #define sampleFreq 512.0f // sample frequency in Hz #define twoKpDef (2.0f * 0.5f) // 2 * proportional gain #define twoKiDef (2.0f * 0.0f) // 2 * integral gain //--------------------------------------------------------------------------------------------------- // Variable definitions volatile float twoKp = twoKpDef; // 2 * proportional gain (Kp) volatile float twoKi = twoKiDef; // 2 * integral gain (Ki) volatile float q0 = 1.0f, q1 = 0.0f, q2 = 0.0f, q3 = 0.0f; // quaternion of sensor frame relative to auxiliary frame volatile float integralFBx = 0.0f, integralFBy = 0.0f, integralFBz = 0.0f; // integral error terms scaled by Ki //--------------------------------------------------------------------------------------------------- // Function declarations float invSqrt(float x); //==================================================================================================== // Functions //--------------------------------------------------------------------------------------------------- // AHRS algorithm update void MahonyAHRSupdate(float gx, float gy, float gz, float ax, float ay, float az, float mx, float my, float mz) { float recipNorm; float q0q0, q0q1, q0q2, q0q3, q1q1, q1q2, q1q3, q2q2, q2q3, q3q3; float hx, hy, bx, bz; float halfvx, halfvy, halfvz, halfwx, halfwy, halfwz; float halfex, halfey, halfez; float qa, qb, qc; // Use IMU algorithm if magnetometer measurement invalid (avoids NaN in magnetometer normalisation) if((mx == 0.0f) && (my == 0.0f) && (mz == 0.0f)) { MahonyAHRSupdateIMU(gx, gy, gz, ax, ay, az); return; } // Compute feedback only if accelerometer measurement valid (avoids NaN in accelerometer normalisation) if(!((ax == 0.0f) && (ay == 0.0f) && (az == 0.0f))) { // Normalise accelerometer measurement recipNorm = invSqrt(ax * ax + ay * ay + az * az); ax *= recipNorm; ay *= recipNorm; az *= recipNorm; // Normalise magnetometer measurement recipNorm = invSqrt(mx * mx + my * my + mz * mz); mx *= recipNorm; my *= recipNorm; mz *= recipNorm; // Auxiliary variables to avoid repeated arithmetic q0q0 = q0 * q0; q0q1 = q0 * q1; q0q2 = q0 * q2; q0q3 = q0 * q3; q1q1 = q1 * q1; q1q2 = q1 * q2; q1q3 = q1 * q3; q2q2 = q2 * q2; q2q3 = q2 * q3; q3q3 = q3 * q3; // Reference direction of Earth's magnetic field hx = 2.0f * (mx * (0.5f - q2q2 - q3q3) + my * (q1q2 - q0q3) + mz * (q1q3 + q0q2)); hy = 2.0f * (mx * (q1q2 + q0q3) + my * (0.5f - q1q1 - q3q3) + mz * (q2q3 - q0q1)); bx = sqrt(hx * hx + hy * hy); bz = 2.0f * (mx * (q1q3 - q0q2) + my * (q2q3 + q0q1) + mz * (0.5f - q1q1 - q2q2)); // Estimated direction of gravity and magnetic field halfvx = q1q3 - q0q2; halfvy = q0q1 + q2q3; halfvz = q0q0 - 0.5f + q3q3; halfwx = bx * (0.5f - q2q2 - q3q3) + bz * (q1q3 - q0q2); halfwy = bx * (q1q2 - q0q3) + bz * (q0q1 + q2q3); halfwz = bx * (q0q2 + q1q3) + bz * (0.5f - q1q1 - q2q2); // Error is sum of cross product between estimated direction and measured direction of field vectors halfex = (ay * halfvz - az * halfvy) + (my * halfwz - mz * halfwy); halfey = (az * halfvx - ax * halfvz) + (mz * halfwx - mx * halfwz); halfez = (ax * halfvy - ay * halfvx) + (mx * halfwy - my * halfwx); // Compute and apply integral feedback if enabled if(twoKi > 0.0f) { integralFBx += twoKi * halfex * (1.0f / sampleFreq); // integral error scaled by Ki integralFBy += twoKi * halfey * (1.0f / sampleFreq); integralFBz += twoKi * halfez * (1.0f / sampleFreq); gx += integralFBx; // apply integral feedback gy += integralFBy; gz += integralFBz; } else { integralFBx = 0.0f; // prevent integral windup integralFBy = 0.0f; integralFBz = 0.0f; } // Apply proportional feedback gx += twoKp * halfex; gy += twoKp * halfey; gz += twoKp * halfez; } // Integrate rate of change of quaternion gx *= (0.5f * (1.0f / sampleFreq)); // pre-multiply common factors gy *= (0.5f * (1.0f / sampleFreq)); gz *= (0.5f * (1.0f / sampleFreq)); qa = q0; qb = q1; qc = q2; q0 += (-qb * gx - qc * gy - q3 * gz); q1 += (qa * gx + qc * gz - q3 * gy); q2 += (qa * gy - qb * gz + q3 * gx); q3 += (qa * gz + qb * gy - qc * gx); // Normalise quaternion recipNorm = invSqrt(q0 * q0 + q1 * q1 + q2 * q2 + q3 * q3); q0 *= recipNorm; q1 *= recipNorm; q2 *= recipNorm; q3 *= recipNorm; } //--------------------------------------------------------------------------------------------------- // IMU algorithm update void MahonyAHRSupdateIMU(float gx, float gy, float gz, float ax, float ay, float az) { float recipNorm; float halfvx, halfvy, halfvz; float halfex, halfey, halfez; float qa, qb, qc; // Compute feedback only if accelerometer measurement valid (avoids NaN in accelerometer normalisation) if(!((ax == 0.0f) && (ay == 0.0f) && (az == 0.0f))) { // Normalise accelerometer measurement recipNorm = invSqrt(ax * ax + ay * ay + az * az); ax *= recipNorm; ay *= recipNorm; az *= recipNorm; // Estimated direction of gravity and vector perpendicular to magnetic flux halfvx = q1 * q3 - q0 * q2; halfvy = q0 * q1 + q2 * q3; halfvz = q0 * q0 - 0.5f + q3 * q3; // Error is sum of cross product between estimated and measured direction of gravity halfex = (ay * halfvz - az * halfvy); halfey = (az * halfvx - ax * halfvz); halfez = (ax * halfvy - ay * halfvx); // Compute and apply integral feedback if enabled if(twoKi > 0.0f) { integralFBx += twoKi * halfex * (1.0f / sampleFreq); // integral error scaled by Ki integralFBy += twoKi * halfey * (1.0f / sampleFreq); integralFBz += twoKi * halfez * (1.0f / sampleFreq); gx += integralFBx; // apply integral feedback gy += integralFBy; gz += integralFBz; } else { integralFBx = 0.0f; // prevent integral windup integralFBy = 0.0f; integralFBz = 0.0f; } // Apply proportional feedback gx += twoKp * halfex; gy += twoKp * halfey; gz += twoKp * halfez; } // Integrate rate of change of quaternion gx *= (0.5f * (1.0f / sampleFreq)); // pre-multiply common factors gy *= (0.5f * (1.0f / sampleFreq)); gz *= (0.5f * (1.0f / sampleFreq)); qa = q0; qb = q1; qc = q2; q0 += (-qb * gx - qc * gy - q3 * gz); q1 += (qa * gx + qc * gz - q3 * gy); q2 += (qa * gy - qb * gz + q3 * gx); q3 += (qa * gz + qb * gy - qc * gx); // Normalise quaternion recipNorm = invSqrt(q0 * q0 + q1 * q1 + q2 * q2 + q3 * q3); q0 *= recipNorm; q1 *= recipNorm; q2 *= recipNorm; q3 *= recipNorm; } //--------------------------------------------------------------------------------------------------- // Fast inverse square-root // See: http://en.wikipedia.org/wiki/Fast_inverse_square_root float invSqrt(float x) { float halfx = 0.5f * x; float y = x; long i = *(long*)&y; i = 0x5f3759df - (i>>1); y = *(float*)&i; y = y * (1.5f - (halfx * y * y)); return y; } //==================================================================================================== // END OF CODE //====================================================================================================
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不经意间刷到了一篇知乎问答：没有磁强计的陀螺仪能算出偏航角(Yaw)吗？，赞同数最高的答案中提到了两种姿态解算算法，
MadgwickAHRS和MahonyAHRS，其中MohonyAHRS算法就是我之前一直在使用的姿态解析算法，可以参考这几篇：MadgwickAHRS算法还没看太懂，等之后搞懂了再补充。下面的链接里有这两种算法的C代码、C#代码、MATLAB代码以及相关论文等：Open source IMU and AHRS algorithms
我这里把两种算法的C语言版本贴出来，方便以后直接复制使用。
MadgwickAHRS
MahonyAHRS
The text was updated successfully, but these errors were encountered: