MATLAB、Python 和 C 语言实现 SVPWM 与 PLL-PID 算法解析
以下分别提供 SVPWM(空间矢量脉宽调制)和 PLL-PID(锁相环-比例积分微分)算法的实现代码及注释解析,涵盖 MATLAB、Python 和 C 语言。代码包含详细注释和实际应用示例。
SVPWM 算法实现
MATLAB 实现
function [Ta, Tb, Tc] = svpwm(Valpha, Vbeta, Vdc, Ts)
% 输入:Valpha, Vbeta - αβ坐标系电压分量;Vdc - 直流母线电压;Ts - 采样周期
% 输出:Ta, Tb, Tc - 三相桥臂导通时间
% 计算电压矢量幅值和角度
Vref = sqrt(Valpha^2 + Vbeta^2);
theta = atan2(Vbeta, Valpha);
% 扇区判断
sector = floor(theta / (pi/3)) + 1;
% 计算基本矢量作用时间
T1 = (sqrt(3)*Ts/Vdc) * (sin(sector*pi/3 - theta) * Vref);
T2 = (sqrt(3)*Ts/Vdc) * (sin(theta - (sector-1)*pi/3) * Vref);
T0 = Ts - T1 - T2;
% 根据扇区分配导通时间
switch sector
case 1
Ta = T1 + T2 + T0/2; Tb = T2 + T0/2; Tc = T0/2;
case 2
Ta = T1 + T0/2; Tb = T1 + T2 + T0/2; Tc = T0/2;
% 其他扇区类似...
end
end
Python 实现
import numpy as np
def svpwm(Valpha, Vbeta, Vdc, Ts):
# 计算幅值和角度
Vref = np.sqrt(Valpha**2 + Vbeta**2)
theta = np.arctan2(Vbeta, Valpha)
# 扇区判断
sector = int(theta // (np.pi/3)) + 1
# 计算T1, T2, T0
T1 = (np.sqrt(3)*Ts/Vdc) * np.sin(sector*np.pi/3 - theta) * Vref
T2 = (np.sqrt(3)*Ts/Vdc) * np.sin(theta - (sector-1)*np.pi/3) * Vref
T0 = Ts - T1 - T2
# 导通时间分配(示例为扇区1)
if sector == 1:
Ta = T1 + T2 + T0/2
Tb = T2 + T0/2
Tc = T0/2
return Ta, Tb, Tc
C 语言实现
#include <math.h>
void svpwm(float Valpha, float Vbeta, float Vdc, float Ts, float *Ta, float *Tb, float *Tc) {
float Vref = sqrt(Valpha*Valpha + Vbeta*Vbeta);
float theta = atan2(Vbeta, Valpha);
int sector = (int)(theta / (M_PI/3)) + 1;
float T1 = (sqrt(3)*Ts/Vdc) * sin(sector*M_PI/3 - theta) * Vref;
float T2 = (sqrt(3)*Ts/Vdc) * sin(theta - (sector-1)*M_PI/3) * Vref;
float T0 = Ts - T1 - T2;
// 扇区1示例
if (sector == 1) {
*Ta = T1 + T2 + T0/2;
*Tb = T2 + T0/2;
*Tc = T0/2;
}
}
PLL-PID 算法实现
MATLAB 实现
function [theta, Vd] = pll_pid(Valpha, Vbeta, Kp, Ki, Ts)
% 输入:Valpha, Vbeta - αβ分量;Kp, Ki - PID参数;Ts - 采样时间
% 输出:theta - 估计角度;Vd - d轴电压
persistent integral_error prev_theta;
% 初始化
if isempty(integral_error)
integral_error = 0;
prev_theta = 0;
end
% 计算误差(基于反Park变换)
error = -Valpha * sin(prev_theta) + Vbeta * cos(prev_theta);
% PID控制
integral_error = integral_error + error * Ts;
delta_theta = Kp * error + Ki * integral_error;
% 更新角度
theta = prev_theta + delta_theta * Ts;
prev_theta = theta;
% 计算Vd(可选)
Vd = Valpha * cos(theta) + Vbeta * sin(theta);
end
Python 实现
class PLL_PID:
def __init__(self, Kp, Ki, Ts):
self.Kp = Kp
self.Ki = Ki
self.Ts = Ts
self.integral_error = 0
self.prev_theta = 0
def update(self, Valpha, Vbeta):
# 计算误差
error = -Valpha * np.sin(self.prev_theta) + Vbeta * np.cos(self.prev_theta)
# PID更新
self.integral_error += error * self.Ts
delta_theta = self.Kp * error + self.Ki * self.integral_error
# 角度更新
theta = self.prev_theta + delta_theta * self.Ts
self.prev_theta = theta
# 计算Vd
Vd = Valpha * np.cos(theta) + Vbeta * np.sin(theta)
return theta, Vd
C 语言实现
typedef struct {
float Kp, Ki, Ts;
float integral_error;
float prev_theta;
} PLL_PID;
void pll_pid_update(PLL_PID *pll, float Valpha, float Vbeta, float *theta, float *Vd) {
// 计算误差
float error = -Valpha * sin(pll->prev_theta) + Vbeta * cos(pll->prev_theta);
// PID更新
pll->integral_error += error * pll->Ts;
float delta_theta = pll->Kp * error + pll->Ki * pll->integral_error;
// 角度更新
*theta = pll->prev_theta + delta_theta * pll->Ts;
pll->prev_theta = *theta;
// 计算Vd
*Vd = Valpha * cos(*theta) + Vbeta * sin(*theta);
}
应用示例
MATLAB SVPWM 控制三相逆变器
Vdc = 300; Ts = 1e-4;
[Ta, Tb, Tc] = svpwm(100, 50, Vdc, Ts); % 生成PWM信号
Python PLL-PID 同步电网电压
pll = PLL_PID(Kp=0.1, Ki=0.01, Ts=1e-4)
theta, Vd = pll.update(Valpha=220, Vbeta=0) # 跟踪电网相位
C 语言嵌入式实现
PLL_PID pll = {.Kp=0.1, .Ki=0.01, .Ts=1e-4};
float theta, Vd;
pll_pid_update(&pll, 220, 0, &theta, &Vd); // 实时更新角度
关键注释解析
- SVPWM:通过扇区判断和时间分配优化谐波性能。
- PLL-PID:通过误差反馈和积分补偿实现相位精确跟踪。
- 多语言差异:MATLAB适合快速验证,Python适合算法研究,C语言适合嵌入式部署。
832

被折叠的 条评论
为什么被折叠?



