修改部分文件

This commit is contained in:
kai
2024-03-23 11:06:37 +08:00
parent 9961e1acfb
commit 59dc4c7ed8
9 changed files with 19 additions and 517 deletions

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@@ -1,404 +0,0 @@
// app
#include "balance.h"
#include "robot_def.h"
#include "general_def.h"
#include "ins_task.h"
#include "HT04.h"
#include "LK9025.h"
#include "controller.h"
#include "can_comm.h"
#include "super_cap.h"
#include "user_lib.h"
#include "remote_control.h"
#include "referee_task.h"
#include "stdint.h"
#include "arm_math.h" // 需要用到较多三角函数
#include "bsp_dwt.h"
#include "bsp_log.h"
#include "linkNleg.h"
#include "speed_estimation.h"
#include "lqr_calc.h"
static uint32_t balance_dwt_cnt;
static float del_t;
/* 底盘拥有的模块实例 */
static attitude_t *imu_data;
static RC_ctrl_t *rc_data; // 底盘单独调试用
static Referee_Interactive_info_t my_ui;
static referee_info_t *referee_data;
static Chassis_Ctrl_Cmd_s chassis_cmd_recv;
static Chassis_Upload_Data_s chassis_feed;
static CANCommInstance *ci;
static SuperCapInstance *cap;
// 四个关节电机和两个驱动轮电机
static HTMotorInstance *lf, *lb, *rf, *rb, *joint[4]; // 指针数组方便传参和调试
static LKMotorInstance *l_driven, *r_driven, *driven[2];
// 两个腿的参数,0为左腿,1为右腿
static LinkNPodParam l_side, r_side;
static ChassisParam chassis;
// 综合运动补偿的PID控制器
static PIDInstance steer_p_pid, steer_v_pid; // 转向PID,有转向指令时使用IMU的加速度反馈积分以获取速度和位置状态量
static PIDInstance anti_crash_pid, phi5_pid; // 抗劈叉,将输出以相反的方向叠加到左右腿的上
static PIDInstance leglen_pid_l, leglen_pid_r; // 用PD模拟弹簧,不要积分(弹簧是无积分二阶系统),增益不可过大否则抗外界冲击响应时太"硬"
static PIDInstance roll_compensate_pid, rolldot_pid; // roll轴补偿,用于保持机体水平
static Robot_Status_e chassis_status;
void BalanceInit()
{
rc_data = RemoteControlInit(&huart3);
imu_data = INS_Init();
// 双板通信
CANComm_Init_Config_s commconf = {
.can_config = {
.can_handle = &hcan2,
.tx_id = 0x40,
.rx_id = 0x41},
.recv_data_len = sizeof(Chassis_Ctrl_Cmd_s),
.send_data_len = sizeof(Chassis_Upload_Data_s)};
ci = CANCommInit(&commconf);
// 超级电容
SuperCap_Init_Config_s cap_conf = {
.can_config = {
.can_handle = &hcan2,
.tx_id = 0x302, // todo 电容id
.rx_id = 0x301}};
cap = SuperCapInit(&cap_conf);
// 关节电机
Motor_Init_Config_s joint_conf = {
// 写一个,剩下的修改方向和id即可
.can_init_config = {
.can_handle = &hcan1},
.controller_param_init_config = {
.angle_PID = {
.Kp = 0.3,
.Kd = 0.1,
.Ki = 0,
.DeadBand = 0.0001,
.Improve = PID_DerivativeFilter,
.MaxOut = 4,
.Derivative_LPF_RC = 0.05,
}, // 仅用于复位腿
},
.controller_setting_init_config = {
.close_loop_type = ANGLE_LOOP,
.outer_loop_type = OPEN_LOOP,
.motor_reverse_flag = FEEDBACK_DIRECTION_NORMAL,
.angle_feedback_source = MOTOR_FEED,
.speed_feedback_source = MOTOR_FEED,
},
.motor_type = HT04};
joint_conf.can_init_config.tx_id = 4;
joint_conf.can_init_config.rx_id = 14;
joint[LF] = lf = HTMotorInit(&joint_conf);
joint_conf.can_init_config.tx_id = 3;
joint_conf.can_init_config.rx_id = 13;
joint[LB] = lb = HTMotorInit(&joint_conf);
joint_conf.can_init_config.tx_id = 2;
joint_conf.can_init_config.rx_id = 12;
joint[RF] = rf = HTMotorInit(&joint_conf);
joint_conf.can_init_config.tx_id = 1;
joint_conf.can_init_config.rx_id = 11;
joint[RB] = rb = HTMotorInit(&joint_conf);
// 驱动轮电机
Motor_Init_Config_s driven_conf = {
// 写一个,剩下的修改方向和id即可
.can_init_config.can_handle = &hcan2,
.controller_setting_init_config = {
.angle_feedback_source = MOTOR_FEED,
.speed_feedback_source = MOTOR_FEED,
.outer_loop_type = OPEN_LOOP,
.close_loop_type = OPEN_LOOP,
.motor_reverse_flag = MOTOR_DIRECTION_NORMAL,
},
.motor_type = LK9025,
};
driven_conf.can_init_config.tx_id = 1;
driven[LD] = l_driven = LKMotorInit(&driven_conf);
driven_conf.can_init_config.tx_id = 2;
driven[RD] = r_driven = LKMotorInit(&driven_conf);
// 转向PID
PID_Init_Config_s steer_p_pid_conf = {
.Kp = 2,
.Kd = 1,
.Ki = 0.0f,
.MaxOut = 4,
.DeadBand = 0.01f,
.Improve = PID_DerivativeFilter,
.Derivative_LPF_RC = 0.05,
};
PIDInit(&steer_p_pid, &steer_p_pid_conf);
PID_Init_Config_s steer_v_pid_conf = {
.Kp = 2,
.Kd = 0.0f,
.Ki = 0.0f,
.MaxOut = 100,
.DeadBand = 0.0f,
.Improve = PID_DerivativeFilter | PID_Integral_Limit,
.Derivative_LPF_RC = 0.05,
.IntegralLimit = 2,
};
PIDInit(&steer_v_pid, &steer_v_pid_conf);
// 抗劈叉
PID_Init_Config_s anti_crash_pid_conf = {
.Kp = 8,
.Kd = 2.5,
.Ki = 0.4,
.MaxOut = 45,
.DeadBand = 0.01f,
.Improve = PID_DerivativeFilter | PID_ChangingIntegrationRate | PID_Integral_Limit,
.Derivative_LPF_RC = 0.05,
.CoefA = 0.05,
.CoefB = 0.05,
.IntegralLimit = 2,
};
PIDInit(&anti_crash_pid, &anti_crash_pid_conf);
// 腿长控制
PID_Init_Config_s leg_length_pid_conf = {
.Kp = 450,
.Kd = 150,
.Ki = 5,
.MaxOut = 60,
.DeadBand = 0.0001f,
.Improve = PID_ChangingIntegrationRate | PID_Trapezoid_Intergral | PID_DerivativeFilter | PID_Derivative_On_Measurement,
.CoefA = 0.01,
.CoefB = 0.02,
.Derivative_LPF_RC = 0.08,
};
PIDInit(&leglen_pid_l, &leg_length_pid_conf);
PIDInit(&leglen_pid_r, &leg_length_pid_conf);
// 横滚角补偿
PID_Init_Config_s roll_compensate_pid_conf = {
.Kp = 0.0008f,
.Kd = 0.00065f,
.Ki = 0.0f,
.MaxOut = 0.04,
.DeadBand = 0.005f,
.Improve = PID_DerivativeFilter,
.Derivative_LPF_RC = 0.05,
};
PIDInit(&roll_compensate_pid, &roll_compensate_pid_conf);
l_side.target_len = r_side.target_len = 0.23; // 初始腿长
chassis.vel_cov = 1000; // 初始化速度协方差
chassis_status = ROBOT_READY;
DWT_GetDeltaT(&balance_dwt_cnt);
}
static void EnableAllMotor() /* 打开所有电机 */
{
for (uint8_t i = 0; i < JOINT_CNT; i++) // 打开关节电机
HTMotorEnable(joint[i]);
for (uint8_t i = 0; i < DRIVEN_CNT; i++) // 打开驱动电机
LKMotorEnable(driven[i]);
}
/* 切换底盘遥控器控制和云台双板控制 */
static void ControlSwitch()
{
// 右侧拨杆向下,进入遥控器底盘控制,此时不响应云台控制指令
if (switch_is_down(rc_data->rc.switch_right) && RemoteControlIsOnline())
{
if (rc_data->rc.rocker_l1 < -600)
{
chassis_cmd_recv.chassis_mode = CHASSIS_RESET;
chassis_cmd_recv.vx = 0.5 * (float)rc_data[TEMP].rc.rocker_r1; // speed x, unit m/s
}
else // 设定值覆盖双板
{
chassis_cmd_recv.chassis_mode = CHASSIS_FREE_DEBUG; // 自由转动&前后
chassis_cmd_recv.vx = 0.02 * (float)rc_data[TEMP].rc.rocker_r1; // speed x, unit m/s
chassis_cmd_recv.offset_angle = 0.001 * (float)rc_data[TEMP].rc.rocker_r_; // rotate? follow.
chassis_cmd_recv.delta_leglen = -0.0000015f * (float)rc_data[TEMP].rc.dial;
}
}
else if (CANCommIsOnline(ci) && !switch_is_down(rc_data->rc.switch_right))
chassis_cmd_recv = *(Chassis_Ctrl_Cmd_s *)CANCommGet(ci); // 获取云台板指令
else
chassis_cmd_recv.chassis_mode = CHASSIS_ZERO_FORCE; // 皆离线,急停
}
/* 腿缩回复位,只允许驱动轮电机移动 */
static void ResetChassis()
{
EnableAllMotor(); // 打开全部电机,关节复位到起始角度,驱动电机响应速度输入以从墙角或固连中脱身
// 复位时清空距离和腿长积累量,保证顺利站起
chassis.dist = chassis.target_dist = 0;
l_side.target_len = r_side.target_len = 0.24;
// 撞墙时前后移动保证能重新站立,执行速度输入
LKMotorSetRef(l_driven, chassis_cmd_recv.vx * 2);
LKMotorSetRef(r_driven, -chassis_cmd_recv.vx * 2);
// 若关节完成复位,进入ready态
if (abs(lf->measure.total_angle) < 0.05 && abs(lf->measure.total_angle) > 0.02 &&
abs(lb->measure.total_angle) < 0.05 && abs(lb->measure.total_angle) > 0.02 &&
abs(rf->measure.total_angle) < 0.05 && abs(rf->measure.total_angle) > 0.02 &&
abs(rb->measure.total_angle) < 0.05 && abs(rb->measure.total_angle) > 0.02)
{
chassis_status = ROBOT_READY; // 底盘已经准备好重新站立
}
else if (abs(lf->measure.total_angle) <= 0.02 &&
abs(lb->measure.total_angle) <= 0.02 &&
abs(rf->measure.total_angle) <= 0.02 &&
abs(rb->measure.total_angle) <= 0.02)
{ // 双阈值保证关节能够复位而不会进入死区
chassis_status = ROBOT_READY; // 底盘已经准备好重新站立
for (uint8_t i = 0; i < JOINT_CNT; i++)
HTMotorOuterLoop(joint[i], OPEN_LOOP); // 改回直接开环扭矩输入,让电调对扭矩闭环
return; // 退出函数不再执行关节指令
}
else
chassis_status = ROBOT_STOP;
// 还在复位中,关节改为位置环,执行复位
for (uint8_t i = 0; i < JOINT_CNT; i++)
{
HTMotorOuterLoop(joint[i], ANGLE_LOOP);
HTMotorSetRef(joint[i], 0);
}
}
/* 工作状态设定 */
static void WokingStateSet()
{
if (chassis_cmd_recv.chassis_mode == CHASSIS_RESET) // 复位模式
{
ResetChassis();
return;
}
else if (chassis_cmd_recv.chassis_mode == CHASSIS_ZERO_FORCE) // 未收到遥控器和云台指令底盘进入急停
{
for (uint8_t i = 0; i < JOINT_CNT; i++)
HTMotorStop(joint[i]);
for (uint8_t i = 0; i < DRIVEN_CNT; i++)
LKMotorStop(driven[i]);
return; // 关闭所有电机,发送的指令为零
}
// 运动模式
EnableAllMotor();
// 设置目标速度/腿长/距离
l_side.target_len += chassis_cmd_recv.delta_leglen;
r_side.target_len += chassis_cmd_recv.delta_leglen;
VAL_LIMIT(l_side.target_len, 0.13, 0.3); // 腿长限幅
VAL_LIMIT(r_side.target_len, 0.13, 0.3);
// 加速度限幅,防止键盘控制摔倒
if (abs(chassis_cmd_recv.vx - chassis.target_v) / del_t < MAX_ACC_REF)
chassis.target_v = chassis_cmd_recv.vx;
else
chassis.target_v += sign(chassis_cmd_recv.vx - chassis.target_v) * MAX_ACC_REF * del_t;
// 模型距离参考输入
chassis.target_dist += chassis.target_v * del_t;
chassis.target_yaw = chassis_cmd_recv.offset_angle; // 云台和底盘对齐时电机编码器的单圈反馈角度
}
/**
* @brief 将电机和imu的数据组装为LinkNPodParam结构体和chassisParam结构体
*
* @note HT04电机上电的编码器位置为零(校准过),请看Link2Pod()的note,以及HT04.c中的电机解码部分
* @note 海泰04电机顺时针旋转为正; LK9025电机逆时针旋转为正,此处皆需要转换为模型中给定的正方向
*
*/
static void ParamAssemble()
{
// 机体参数,视为平面刚体
chassis.pitch = (-imu_data->Pitch + BALANCE_GRAVITY_BIAS) * DEGREE_2_RAD;
chassis.pitch_w = -imu_data->Gyro[0];
chassis.yaw = imu_data->YawTotalAngle * DEGREE_2_RAD;
chassis.wz = imu_data->Gyro[2];
chassis.roll = imu_data->Roll * DEGREE_2_RAD + ROLL_GRAVITY_BIAS;
chassis.roll_w = imu_data->Gyro[1];
// HT04电机的角度是顺时针为正,LK9025电机的角度是逆时针为正
l_side.phi1 = PI + LIMIT_LINK_RAD - lb->measure.total_angle;
l_side.phi4 = -lf->measure.total_angle - LIMIT_LINK_RAD;
l_side.phi1_w = -lb->measure.speed_rads;
l_side.phi4_w = -lf->measure.speed_rads;
l_side.w_ecd = l_driven->measure.speed_rads;
r_side.phi1 = PI + LIMIT_LINK_RAD + rb->measure.total_angle;
r_side.phi4 = rf->measure.total_angle - LIMIT_LINK_RAD;
r_side.phi1_w = rb->measure.speed_rads;
r_side.phi4_w = rf->measure.speed_rads;
r_side.w_ecd = -r_driven->measure.speed_rads;
}
/* 腿部控制:抗劈叉; 轮子控制:转向 */
static void SynthesizeMotion()
{
// 跟随云台yaw
if (chassis_cmd_recv.chassis_mode == CHASSIS_FOLLOW_GIMBAL_YAW ||
chassis_cmd_recv.chassis_mode == CHASSIS_FREE_DEBUG) // 角度环
{
float p_ref = PIDCalculate(&steer_p_pid, chassis_cmd_recv.offset_angle, 0);
PIDCalculate(&steer_v_pid, chassis.wz, p_ref); // 双环
}
else if (chassis_cmd_recv.chassis_mode == CHASSIS_ROTATE) // 速度环
PIDCalculate(&steer_v_pid, chassis.wz, 4);
l_side.T_wheel -= steer_v_pid.Output;
r_side.T_wheel += steer_v_pid.Output;
// 抗劈叉
volatile static float swerving_speed_ff, ff_coef = 3;
swerving_speed_ff = ff_coef * steer_v_pid.Output; // 用于抗劈叉的前馈
PIDCalculate(&anti_crash_pid, l_side.phi5 - r_side.phi5, 0);
l_side.T_hip += anti_crash_pid.Output - swerving_speed_ff;
r_side.T_hip -= anti_crash_pid.Output - swerving_speed_ff;
}
/* 腿长控制和Roll补偿 */
static void LegControl()
{
PIDCalculate(&roll_compensate_pid, chassis.roll, 0);
l_side.target_len -= roll_compensate_pid.Output;
r_side.target_len += roll_compensate_pid.Output;
static float gravity_comp = 0;
static float roll_extra_comp_p = 0;
float roll_comp = roll_extra_comp_p * chassis.roll;
l_side.F_leg = PIDCalculate(&leglen_pid_l, l_side.height, l_side.target_len) + gravity_comp + roll_comp;
r_side.F_leg = PIDCalculate(&leglen_pid_r, r_side.height, r_side.target_len) + gravity_comp - roll_comp;
// @todo: 还需要加和roll的纯Kp项
}
/* 设定运动模态的输出 */
static void WattLimitSet()
{
HTMotorSetRef(lf, 0.2857 * -l_side.T_front); // 根据扭矩常数计算得到的系数
HTMotorSetRef(lb, 0.2857 * -l_side.T_back);
HTMotorSetRef(rf, 0.2857 * r_side.T_front);
HTMotorSetRef(rb, 0.2857 * r_side.T_back);
LKMotorSetRef(l_driven, 195.3125 * l_side.T_wheel);
LKMotorSetRef(r_driven, 195.3125 * -r_side.T_wheel);
}
void BalanceTask()
{
del_t = DWT_GetDeltaT(&balance_dwt_cnt);
// 切换遥控器控制or云台板控制
ControlSwitch();
}

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@@ -42,14 +42,17 @@ typedef struct
// joint
float phi1_w, phi4_w, phi2_w, phi5_w; // phi2_w used for calc real wheel speed
float T_back, T_front;
// link angle, phi1-ph5, phi5 is pod angle
float phi1, phi2, phi3, phi4, phi5;
// wheel
float w_ecd; // 电机编码器速度
float wheel_dist; // 单侧轮子的位移
float wheel_w; // 单侧轮子的速度
float body_v; // 髋关节速度
float T_wheel;
// pod
float theta, theta_w; // 杆和垂直方向的夹角,为控制状态之一
float leg_len, legd;
@@ -59,22 +62,25 @@ typedef struct
float coord[6]; // xb yb xc yc xd yd
float wheel_out[7];
float hip_out[7];
} LinkNPodParam;
typedef struct
{
// 速度
float vel, target_v; // 底盘速度
float vel_m; // 底盘速度测量值
float vel_predict; // 底盘速度预测值
float vel_cov; // 速度方差
float acc, acc_m, acc_last; // 水平方向加速度,用于计算速度预测值
float acc_m, acc_last; // 水平方向加速度,用于计算速度预测值
// 位移
float dist, target_dist; // 底盘位移距离
// IMU
float yaw, wz, target_yaw; // yaw角度和底盘角速度
float pitch, pitch_w; // 底盘俯仰角度和角速度
float roll, roll_w; // 底盘横滚角度和角速度
} ChassisParam;
/**

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@@ -74,6 +74,6 @@ void Link2Leg(LinkNPodParam *p, ChassisParam *chassis)
p->phi2_w = (phi2_pred - p->phi2) / predict_dt; // 稍后用于修正轮速
p->phi5_w = (phi5_pred - p->phi5) / predict_dt;
p->legd = (Sqrt(powf(xC - JOINT_DISTANCE / 2, 2) + powf(yC, 2)) - p->leg_len) / predict_dt;
p->theta_w = ((phi5_pred - 0.5 * PI - (chassis->pitch + chassis->pitch_w) - p->theta) / predict_dt); // 可以不考虑机体? -predict_dt*chassis.pitch_w
p->theta_w = ((phi5_pred - 0.5 * PI - (chassis->pitch + chassis->pitch_w * predict_dt) - p->theta) / predict_dt); // 可以不考虑机体? -predict_dt*chassis.pitch_w
p->height_v = p->legd * mcos(p->theta) - p->leg_len * msin(p->theta) * p->theta_w;
}

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@@ -9,8 +9,8 @@
*/
static void CalcLQR(LinkNPodParam *p, ChassisParam *chassis)
{
static float k[12][3] = {};
float T[2] = {0}; // 0 T_wheel 1 T_hip
float k[12][3] = {0};
float T[2] = {0}; // 0 T_wheel 1 T_hip
float l = p->leg_len;
float lsqr = l * l;

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@@ -1,100 +0,0 @@
#include "balance.h"
#include "user_lib.h"
#include "ins_task.h"
#include "general_def.h"
#define EST_FINAL_LPF 0.005f // 最终速度的低通滤波系数
static KalmanFilter_t kf;
/**
* @brief 底盘为右手系
*
* ^ y 左轮 右轮
* | | | 前
* |_____ > x |------|
* z 轴从屏幕向外 | | 后
*/
void SpeedEstInit()
{
// 使用kf同时估计速度和加速度
// Kalman_Filter_Init(&kf, 2, 0, 2);
// float F[4] = {1, 0.001, 0, 1};
// float Q[4] = {VEL_PROCESS_NOISE, 0, 0, ACC_PROCESS_NOISE};
// float R[4] = {VEL_MEASURE_NOISE, 0, 0, ACC_MEASURE_NOISE};
// float P[4] = {100000, 0, 0, 100000};
// float H[4] = {1, 0, 0, 1};
// memcpy(kf.F_data, F, sizeof(F));
// memcpy(kf.Q_data, Q, sizeof(Q));
// memcpy(kf.R_data, R, sizeof(R));
// memcpy(kf.P_data, P, sizeof(P));
// memcpy(kf.H_data, H, sizeof(H));
}
/**
* @brief 使用卡尔曼滤波估计底盘速度
* @todo 增加w和dw的滤波,当w和dw均小于一定值时,不考虑dw导致的角加速度
*
* @param lp 左侧腿
* @param rp 右侧腿
* @param cp 底盘
* @param imu imu数据
* @param delta_t 更新间隔
*/
void SpeedEstimation(LinkNPodParam *lp, LinkNPodParam *rp, ChassisParam *cp, INS_t *imu, float delta_t)
{
// 修正轮速和距离
lp->wheel_w = lp->w_ecd + lp->phi2_w - cp->pitch_w; // 减去和定子固连的phi2_w
rp->wheel_w = rp->w_ecd + rp->phi2_w - cp->pitch_w;
// 直接使用轮速反馈,不进行速度融合
// cp->vel = (lp->wheel_w + rp->wheel_w) * WHEEL_RADIUS / 2;
// cp->dist = cp->dist + cp->vel * delta_t;
// 以轮子为基点,计算机体两侧髋关节处的速度
lp->body_v = lp->wheel_w * WHEEL_RADIUS + lp->leg_len * lp->theta_w + lp->legd * msin(lp->theta);
rp->body_v = rp->wheel_w * WHEEL_RADIUS + rp->leg_len * rp->theta_w + rp->legd * msin(rp->theta);
cp->vel_m = (lp->body_v + rp->body_v) / 2; // 机体速度(平动)为两侧速度的平均值
// 扣除旋转导致的向心加速度和角加速度*R
float *gyro = imu->Gyro, *dgyro = imu->dgyro;
static float yaw_ddwrNwwr, yaw_p_ddwrNwwr, pitch_ddwrNwwr;
static float macc_y, macc_z; // 补偿后的实际平动加速度,机体系前进方向和竖直方向
yaw_ddwrNwwr = powf(gyro[Z], 2) * CENTER_IMU_W - dgyro[Z] * CENTER_IMU_L; // yaw旋转导致motion_acc[1]的额外加速度(机体前后方向)
yaw_p_ddwrNwwr = powf(gyro[X], 2) * CENTER_IMU_W + dgyro[X] * CENTER_IMU_H; // pitch旋转导致motion_acc[1]的额外加速度(机体前后方向)
pitch_ddwrNwwr = powf(gyro[X], 2) * CENTER_IMU_H - dgyro[X] * CENTER_IMU_W; // pitch旋转导致motion_acc[2]的额外加速度(机体竖直方向)
macc_y = -imu->MotionAccel_b[Y] - yaw_ddwrNwwr - yaw_p_ddwrNwwr;
macc_z = imu->MotionAccel_b[Z] - pitch_ddwrNwwr;
float pitch = imu->Pitch * DEGREE_2_RAD;
cp->acc_last = cp->acc_m;
cp->acc_m = macc_y * mcos(pitch) - macc_z * msin(pitch); // 绝对系下的平动加速度,即机体系下的加速度投影到绝对系
// for debug 对比修正前后的加速度
static float ry, rz, rawaa;
ry = -imu->MotionAccel_b[Y];
rz = imu->MotionAccel_b[Z];
rawaa = ry * mcos(pitch) - rz * msin(pitch);
// 使用kf同时估计加速度和速度,滤波更新
// kf.MeasuredVector[0] = cp->vel_m;
// kf.MeasuredVector[1] = cp->acc_m;
// kf.F_data[1] = delta_t; // 更新F矩阵
// Kalman_Filter_Update(&kf);
// cp->vel = kf.xhat_data[0];
// cp->acc = kf.xhat_data[1];
// 融合加速度计的数据和机体速度
static float f, k, prior, measure, cov;
f = (cp->acc_m + cp->acc_last) / 2; // 速度梯形积分
prior = cp->vel + f * delta_t; // x' = Fx,先验估计
cp->vel_predict = prior;
measure = cp->vel_m; // 测量值
cov = cp->vel_cov + VEL_PROCESS_NOISE * delta_t; // P' = P + Q ,先验协方差
cp->vel_cov = cov;
k = cov / (cov + VEL_MEASURE_NOISE); // K = P'/(P'+R),卡尔曼增益
cp->vel = prior + k * (measure - prior); // x^ = x'+K(z-x'),后验估计
cp->vel_cov *= (1 - k); // P^ = (1-K)P',后验协方差
VAL_LIMIT(cp->vel_cov, 0.01, 100); // 协方差限幅
cp->dist = cp->dist + cp->vel * delta_t;
}