arduino 小车走直线pid程序书写
时间: 2024-10-02 19:00:54 浏览: 48
基于Arduino PID算法控制小车直线行驶(制作步骤+程序+PID库)_如何保持车在路中间直线行驶
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Arduino小车直线行走的PID(比例积分微分)控制程序通常用于精确地调整电机的速度或方向,以使车辆沿预定路径行驶。PID控制器是一种常用的算法,用于跟踪目标值,它结合了三个参数:
1. 比例(P):当前误差(目标值 - 实际位置)
2. 积分(I):累积过去的误差,消除长期趋势
3. 微分(D):预测未来的误差变化,快速响应变化
以下是编写基本PID控制小车直线运动的步骤:
```cpp
// Arduino PID Class Example
class PID {
public:
PID(float setpoint, float Kp, float Ki, float Kd, int sample_time = 10) {
_setpoint = setpoint;
_Kp = Kp;
_Ki = Ki;
_Kd = Kd;
_sample_time = sample_time;
_prev_error = 0;
_integral = 0;
}
void update(float input) {
float error = _setpoint - input;
_integral += error * _sample_time;
// Proportional term
float P = _Kp * error;
// Integral term (limited to avoid overflow)
if (_integral > LIMIT) {
_integral = LIMIT;
} else if (_integral < -LIMIT) {
_integral = -LIMIT;
}
float I = _Ki * _integral;
// Derivative term
float D = 0; // In this simple case, we often don't use derivative for motor control due to noise and computation overhead
// If you choose to use it, calculate with the change in error over time.
// Total output is sum of all three terms
float output = P + I + D;
// Update your motor speed or direction based on 'output'
}
private:
float _setpoint;
float _Kp, _Ki, _Kd;
const int _sample_time;
float _prev_error, _integral;
static const float LIMIT = 1000; // Limit integral term to prevent overflow
};
// In your main loop:
PID pid(50, 0.1, 0.01, 0); // Assuming target setpoint is 50, tuning constants
analogReadFromSensor(); // Read sensor data from the car's position sensor
pid.update(sensorValue);
setMotorSpeed(pid.output); // Adjust motor speed according to PID output
```
在这个例子中,你需要替换`analogReadFromSensor()`和`setMotorSpeed()`函数以获取传感器数据并控制电机。
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