ardupilot/libraries/PID/PID.cpp

// -*- tab-width: 4; Mode: C++; c-basic-offset: 4; indent-tabs-mode: t -*-

/// @file	PID.cpp
/// @brief	Generic PID algorithm

#include <math.h>

#include "PID.h"

const AP_Param::GroupInfo PID::var_info[] PROGMEM = {
	AP_GROUPINFO("P",    PID, _kp),
	AP_GROUPINFO("I",    PID, _ki),
	AP_GROUPINFO("D",    PID, _kd),
	AP_GROUPINFO("IMAX", PID, _imax),
	AP_GROUPEND
};

long
PID::get_pid(int32_t error, uint16_t dt, float scaler)
{
	float output		= 0;
 	float delta_time	= (float)dt / 1000.0;

	// Compute proportional component
	output += error * _kp;

	// Compute derivative component if time has elapsed
	if ((fabs(_kd) > 0) && (dt > 0)) {
		float derivative = (error - _last_error) / delta_time;

		// discrete low pass filter, cuts out the
		// high frequency noise that can drive the controller crazy
		float RC = 1/(2*M_PI*20);
		derivative = _last_derivative +
		        (delta_time / (RC + delta_time)) * (derivative - _last_derivative);

		// update state
		_last_error 		= error;
		_last_derivative    = derivative;

		// add in derivative component
		output 				+= _kd * derivative;
	}

	// scale the P and D components
	output *= scaler;

	// Compute integral component if time has elapsed
	if ((fabs(_ki) > 0) && (dt > 0)) {
		_integrator 		+= (error * _ki) * scaler * delta_time;
		if (_integrator < -_imax) {
			_integrator = -_imax;
		} else if (_integrator > _imax) {
			_integrator = _imax;
		}
		output 				+= _integrator;
	}

	return output;
}

void
PID::reset_I()
{
	_integrator = 0;
	_last_error = 0;
	_last_derivative = 0;
}

void
PID::load_gains()
{
	_kp.load();
	_ki.load();
	_kd.load();
}

void
PID::save_gains()
{
	_kp.save();
	_ki.save();
	_kd.save();
}