|  |  |  | /**
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							|  |  |  |  * Marlin 3D Printer Firmware | 
					
						
							|  |  |  |  * Copyright (C) 2016 MarlinFirmware [https://github.com/MarlinFirmware/Marlin]
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							|  |  |  |  * | 
					
						
							|  |  |  |  * Based on Sprinter and grbl. | 
					
						
							|  |  |  |  * Copyright (C) 2011 Camiel Gubbels / Erik van der Zalm | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * This program is free software: you can redistribute it and/or modify | 
					
						
							|  |  |  |  * it under the terms of the GNU General Public License as published by | 
					
						
							|  |  |  |  * the Free Software Foundation, either version 3 of the License, or | 
					
						
							|  |  |  |  * (at your option) any later version. | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * This program is distributed in the hope that it will be useful, | 
					
						
							|  |  |  |  * but WITHOUT ANY WARRANTY; without even the implied warranty of | 
					
						
							|  |  |  |  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the | 
					
						
							|  |  |  |  * GNU General Public License for more details. | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * You should have received a copy of the GNU General Public License | 
					
						
							|  |  |  |  * along with this program.  If not, see <http://www.gnu.org/licenses/>.
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							|  |  |  |  * | 
					
						
							|  |  |  |  */ | 
					
						
							|  |  |  | 
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							|  |  |  | /**
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							|  |  |  |  * planner_bezier.cpp | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * Compute and buffer movement commands for bezier curves | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  */ | 
					
						
							|  |  |  | 
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							|  |  |  | #include "Marlin.h"
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							|  |  |  | 
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							|  |  |  | #if ENABLED(BEZIER_CURVE_SUPPORT)
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							|  |  |  | 
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							|  |  |  | #include "planner.h"
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							|  |  |  | #include "language.h"
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							|  |  |  | #include "temperature.h"
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							|  |  |  | 
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							|  |  |  | // See the meaning in the documentation of cubic_b_spline().
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							|  |  |  | #define MIN_STEP 0.002
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							|  |  |  | #define MAX_STEP 0.1
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							|  |  |  | #define SIGMA 0.1
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							|  |  |  | 
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							|  |  |  | /* Compute the linear interpolation between to real numbers.
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							|  |  |  | */ | 
					
						
							|  |  |  | inline static float interp(float a, float b, float t) { return (1.0 - t) * a + t * b; } | 
					
						
							|  |  |  | 
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							|  |  |  | /**
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							|  |  |  |  * Compute a Bézier curve using the De Casteljau's algorithm (see | 
					
						
							|  |  |  |  * https://en.wikipedia.org/wiki/De_Casteljau%27s_algorithm), which is
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							|  |  |  |  * easy to code and has good numerical stability (very important, | 
					
						
							|  |  |  |  * since Arudino works with limited precision real numbers). | 
					
						
							|  |  |  |  */ | 
					
						
							|  |  |  | inline static float eval_bezier(float a, float b, float c, float d, float t) { | 
					
						
							|  |  |  |   float iab = interp(a, b, t); | 
					
						
							|  |  |  |   float ibc = interp(b, c, t); | 
					
						
							|  |  |  |   float icd = interp(c, d, t); | 
					
						
							|  |  |  |   float iabc = interp(iab, ibc, t); | 
					
						
							|  |  |  |   float ibcd = interp(ibc, icd, t); | 
					
						
							|  |  |  |   float iabcd = interp(iabc, ibcd, t); | 
					
						
							|  |  |  |   return iabcd; | 
					
						
							|  |  |  | } | 
					
						
							|  |  |  | 
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							|  |  |  | /**
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							|  |  |  |  * We approximate Euclidean distance with the sum of the coordinates | 
					
						
							|  |  |  |  * offset (so-called "norm 1"), which is quicker to compute. | 
					
						
							|  |  |  |  */ | 
					
						
							|  |  |  | inline static float dist1(float x1, float y1, float x2, float y2) { return fabs(x1 - x2) + fabs(y1 - y2); } | 
					
						
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							|  |  |  | /**
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							|  |  |  |  * The algorithm for computing the step is loosely based on the one in Kig | 
					
						
							|  |  |  |  * (See https://sources.debian.net/src/kig/4:15.08.3-1/misc/kigpainter.cpp/#L759)
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							|  |  |  |  * However, we do not use the stack. | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * The algorithm goes as it follows: the parameters t runs from 0.0 to | 
					
						
							|  |  |  |  * 1.0 describing the curve, which is evaluated by eval_bezier(). At | 
					
						
							|  |  |  |  * each iteration we have to choose a step, i.e., the increment of the | 
					
						
							|  |  |  |  * t variable. By default the step of the previous iteration is taken, | 
					
						
							|  |  |  |  * and then it is enlarged or reduced depending on how straight the | 
					
						
							|  |  |  |  * curve locally is. The step is always clamped between MIN_STEP/2 and | 
					
						
							|  |  |  |  * 2*MAX_STEP. MAX_STEP is taken at the first iteration. | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * For some t, the step value is considered acceptable if the curve in | 
					
						
							|  |  |  |  * the interval [t, t+step] is sufficiently straight, i.e., | 
					
						
							|  |  |  |  * sufficiently close to linear interpolation. In practice the | 
					
						
							|  |  |  |  * following test is performed: the distance between eval_bezier(..., | 
					
						
							|  |  |  |  * t+step/2) is evaluated and compared with 0.5*(eval_bezier(..., | 
					
						
							|  |  |  |  * t)+eval_bezier(..., t+step)). If it is smaller than SIGMA, then the | 
					
						
							|  |  |  |  * step value is considered acceptable, otherwise it is not. The code | 
					
						
							|  |  |  |  * seeks to find the larger step value which is considered acceptable. | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * At every iteration the recorded step value is considered and then | 
					
						
							|  |  |  |  * iteratively halved until it becomes acceptable. If it was already | 
					
						
							|  |  |  |  * acceptable in the beginning (i.e., no halving were done), then | 
					
						
							|  |  |  |  * maybe it was necessary to enlarge it; then it is iteratively | 
					
						
							|  |  |  |  * doubled while it remains acceptable. The last acceptable value | 
					
						
							|  |  |  |  * found is taken, provided that it is between MIN_STEP and MAX_STEP | 
					
						
							|  |  |  |  * and does not bring t over 1.0. | 
					
						
							|  |  |  |  * | 
					
						
							|  |  |  |  * Caveat: this algorithm is not perfect, since it can happen that a | 
					
						
							|  |  |  |  * step is considered acceptable even when the curve is not linear at | 
					
						
							|  |  |  |  * all in the interval [t, t+step] (but its mid point coincides "by | 
					
						
							|  |  |  |  * chance" with the midpoint according to the parametrization). This | 
					
						
							|  |  |  |  * kind of glitches can be eliminated with proper first derivative | 
					
						
							|  |  |  |  * estimates; however, given the improbability of such configurations, | 
					
						
							|  |  |  |  * the mitigation offered by MIN_STEP and the small computational | 
					
						
							|  |  |  |  * power available on Arduino, I think it is not wise to implement it. | 
					
						
							|  |  |  |  */ | 
					
						
							|  |  |  | void cubic_b_spline(const float position[NUM_AXIS], const float target[NUM_AXIS], const float offset[4], float feed_rate, uint8_t extruder) { | 
					
						
							|  |  |  |   // Absolute first and second control points are recovered.
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							|  |  |  |   float first0 = position[X_AXIS] + offset[0]; | 
					
						
							|  |  |  |   float first1 = position[Y_AXIS] + offset[1]; | 
					
						
							|  |  |  |   float second0 = target[X_AXIS] + offset[2]; | 
					
						
							|  |  |  |   float second1 = target[Y_AXIS] + offset[3]; | 
					
						
							|  |  |  |   float t = 0.0; | 
					
						
							|  |  |  | 
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							|  |  |  |   float bez_target[4]; | 
					
						
							|  |  |  |   bez_target[X_AXIS] = position[X_AXIS]; | 
					
						
							|  |  |  |   bez_target[Y_AXIS] = position[Y_AXIS]; | 
					
						
							|  |  |  |   float step = MAX_STEP; | 
					
						
							|  |  |  | 
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							|  |  |  |   millis_t next_idle_ms = millis() + 200UL; | 
					
						
							|  |  |  | 
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							|  |  |  |   while (t < 1.0) { | 
					
						
							|  |  |  | 
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							|  |  |  |     thermalManager.manage_heater(); | 
					
						
							|  |  |  |     millis_t now = millis(); | 
					
						
							|  |  |  |     if (ELAPSED(now, next_idle_ms)) { | 
					
						
							|  |  |  |       next_idle_ms = now + 200UL; | 
					
						
							|  |  |  |       idle(); | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | 
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							|  |  |  |     // First try to reduce the step in order to make it sufficiently
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							|  |  |  |     // close to a linear interpolation.
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							|  |  |  |     bool did_reduce = false; | 
					
						
							|  |  |  |     float new_t = t + step; | 
					
						
							|  |  |  |     NOMORE(new_t, 1.0); | 
					
						
							|  |  |  |     float new_pos0 = eval_bezier(position[X_AXIS], first0, second0, target[X_AXIS], new_t); | 
					
						
							|  |  |  |     float new_pos1 = eval_bezier(position[Y_AXIS], first1, second1, target[Y_AXIS], new_t); | 
					
						
							|  |  |  |     for (;;) { | 
					
						
							|  |  |  |       if (new_t - t < (MIN_STEP)) break; | 
					
						
							|  |  |  |       float candidate_t = 0.5 * (t + new_t); | 
					
						
							|  |  |  |       float candidate_pos0 = eval_bezier(position[X_AXIS], first0, second0, target[X_AXIS], candidate_t); | 
					
						
							|  |  |  |       float candidate_pos1 = eval_bezier(position[Y_AXIS], first1, second1, target[Y_AXIS], candidate_t); | 
					
						
							|  |  |  |       float interp_pos0 = 0.5 * (bez_target[X_AXIS] + new_pos0); | 
					
						
							|  |  |  |       float interp_pos1 = 0.5 * (bez_target[Y_AXIS] + new_pos1); | 
					
						
							|  |  |  |       if (dist1(candidate_pos0, candidate_pos1, interp_pos0, interp_pos1) <= (SIGMA)) break; | 
					
						
							|  |  |  |       new_t = candidate_t; | 
					
						
							|  |  |  |       new_pos0 = candidate_pos0; | 
					
						
							|  |  |  |       new_pos1 = candidate_pos1; | 
					
						
							|  |  |  |       did_reduce = true; | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | 
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							|  |  |  |     // If we did not reduce the step, maybe we should enlarge it.
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							|  |  |  |     if (!did_reduce) for (;;) { | 
					
						
							|  |  |  |       if (new_t - t > MAX_STEP) break; | 
					
						
							|  |  |  |       float candidate_t = t + 2.0 * (new_t - t); | 
					
						
							|  |  |  |       if (candidate_t >= 1.0) break; | 
					
						
							|  |  |  |       float candidate_pos0 = eval_bezier(position[X_AXIS], first0, second0, target[X_AXIS], candidate_t); | 
					
						
							|  |  |  |       float candidate_pos1 = eval_bezier(position[Y_AXIS], first1, second1, target[Y_AXIS], candidate_t); | 
					
						
							|  |  |  |       float interp_pos0 = 0.5 * (bez_target[X_AXIS] + candidate_pos0); | 
					
						
							|  |  |  |       float interp_pos1 = 0.5 * (bez_target[Y_AXIS] + candidate_pos1); | 
					
						
							|  |  |  |       if (dist1(new_pos0, new_pos1, interp_pos0, interp_pos1) > (SIGMA)) break; | 
					
						
							|  |  |  |       new_t = candidate_t; | 
					
						
							|  |  |  |       new_pos0 = candidate_pos0; | 
					
						
							|  |  |  |       new_pos1 = candidate_pos1; | 
					
						
							|  |  |  |     } | 
					
						
							|  |  |  | 
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							|  |  |  |     // Check some postcondition; they are disabled in the actual
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							|  |  |  |     // Marlin build, but if you test the same code on a computer you
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							|  |  |  |     // may want to check they are respect.
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							|  |  |  |     /*
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							|  |  |  |       assert(new_t <= 1.0); | 
					
						
							|  |  |  |       if (new_t < 1.0) { | 
					
						
							|  |  |  |         assert(new_t - t >= (MIN_STEP) / 2.0); | 
					
						
							|  |  |  |         assert(new_t - t <= (MAX_STEP) * 2.0); | 
					
						
							|  |  |  |       } | 
					
						
							|  |  |  |     */ | 
					
						
							|  |  |  | 
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							|  |  |  |     step = new_t - t; | 
					
						
							|  |  |  |     t = new_t; | 
					
						
							|  |  |  | 
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							|  |  |  |     // Compute and send new position
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							|  |  |  |     bez_target[X_AXIS] = new_pos0; | 
					
						
							|  |  |  |     bez_target[Y_AXIS] = new_pos1; | 
					
						
							|  |  |  |     // FIXME. The following two are wrong, since the parameter t is
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							|  |  |  |     // not linear in the distance.
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							|  |  |  |     bez_target[Z_AXIS] = interp(position[Z_AXIS], target[Z_AXIS], t); | 
					
						
							|  |  |  |     bez_target[E_AXIS] = interp(position[E_AXIS], target[E_AXIS], t); | 
					
						
							|  |  |  |     clamp_to_software_endstops(bez_target); | 
					
						
							|  |  |  | 
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							|  |  |  |     #if ENABLED(DELTA) || ENABLED(SCARA)
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							|  |  |  |       calculate_delta(bez_target); | 
					
						
							|  |  |  |       #if ENABLED(AUTO_BED_LEVELING_FEATURE)
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							|  |  |  |         adjust_delta(bez_target); | 
					
						
							|  |  |  |       #endif
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							|  |  |  |       planner.buffer_line(delta[X_AXIS], delta[Y_AXIS], delta[Z_AXIS], bez_target[E_AXIS], feed_rate, extruder); | 
					
						
							|  |  |  |     #else
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							|  |  |  |       planner.buffer_line(bez_target[X_AXIS], bez_target[Y_AXIS], bez_target[Z_AXIS], bez_target[E_AXIS], feed_rate, extruder); | 
					
						
							|  |  |  |     #endif
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							|  |  |  |   } | 
					
						
							|  |  |  | } | 
					
						
							|  |  |  | 
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							|  |  |  | #endif // BEZIER_CURVE_SUPPORT
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