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docs: Update documentation with iterative solver changes
Signed-off-by: Kevin O'Connor <kevin@koconnor.net>
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8 changed files with 101 additions and 892 deletions
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@ -163,28 +163,37 @@ provides further information on the mechanics of moves.
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kinematic class is given a chance to audit the move
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(`ToolHead.move() -> kin.check_move()`) before it goes on the
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look-ahead queue, but once the move arrives in *kin*.move() the
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kinematic class is required to handle the move as specified. The
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kinematic classes translate the three parts of each move
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(acceleration, constant "cruising" velocity, and deceleration) to
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the associated movement on each stepper. Note that the extruder is
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handled in its own kinematic class. Since the Move() class specifies
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the exact movement time and since step pulses are sent to the
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micro-controller with specific timing, stepper movements produced by
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the extruder class will be in sync with head movement even though
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the code is kept separate.
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kinematic class is required to handle the move as specified. Note
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that the extruder is handled in its own kinematic class. Since the
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Move() class specifies the exact movement time and since step pulses
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are sent to the micro-controller with specific timing, stepper
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movements produced by the extruder class will be in sync with head
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movement even though the code is kept separate.
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* For efficiency reasons, the stepper pulse times are generated in C
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code. The code flow is: `kin.move() -> MCU_Stepper.step_const() ->
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stepcompress_push_const()`, or for delta kinematics:
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`DeltaKinematics.move() -> MCU_Stepper.step_delta() ->
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stepcompress_push_delta()`. The MCU_Stepper code just performs unit
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and axis transformation (millimeters to step distances), and calls
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the C code. The C code calculates the stepper step times for each
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movement and fills an array (struct stepcompress.queue) with the
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corresponding micro-controller clock counter times for every
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step. Here the "micro-controller clock counter" value directly
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corresponds to the micro-controller's hardware counter - it is
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relative to when the micro-controller was last powered up.
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* Klipper uses an
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[iterative solver](https://en.wikipedia.org/wiki/Root-finding_algorithm)
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to generate the step times for each stepper. For efficiency reasons,
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the stepper pulse times are generated in C code. The code flow is:
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`kin.move() -> MCU_Stepper.step_itersolve() ->
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itersolve_gen_steps()` (in klippy/chelper/itersolve.c). The goal of
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the iterative solver is to find step times given a formula that
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calculates a stepper position from a given time in a move. This is
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done by repeatedly "guessing" various times until the stepper
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position formula returns the desired position of the next step on
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the stepper. The feedback produced from each guess is used to
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improve future guesses so that the process rapidly converges to the
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desired time. The kinematic stepper position formulas are located in
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the klippy/chelper/ directory (eg, kin_cart.c, kin_corexy.c,
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kin_delta.c, kin_extruder.c).
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* After the iterative solver calculates the step times they are added
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to an array: `itersolve_gen_steps() -> queue_append()` (in
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klippy/chelper/stepcompress.c). The array (struct
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stepcompress.queue) stores the corresponding micro-controller clock
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counter times for every step. Here the "micro-controller clock
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counter" value directly corresponds to the micro-controller's
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hardware counter - it is relative to when the micro-controller was
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last powered up.
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* The next major step is to compress the steps: `stepcompress_flush()
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-> compress_bisect_add()` (in klippy/chelper/stepcompress.c). This
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@ -293,8 +302,7 @@ This section provides some tips on adding support to Klipper for
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additional types of printer kinematics. This type of activity requires
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excellent understanding of the math formulas for the target
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kinematics. It also requires software development skills - though one
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should only need to update the host software (which is written in
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Python).
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should only need to update the host software.
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Useful steps:
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1. Start by studying the
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@ -304,74 +312,30 @@ Useful steps:
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and delta.py. The kinematic classes are tasked with converting a
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move in cartesian coordinates to the movement on each stepper. One
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should be able to copy one of these files as a starting point.
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3. Implement the `get_postion()` method in the new kinematics
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class. This method converts the current stepper position of each
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stepper axis (stored in millimeters) to a position in cartesian
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space (also in millimeters).
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4. Implement the `set_postion()` method. This is the inverse of
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get_position() - it sets each axis position (in millimeters) given
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a position in cartesian coordinates.
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5. Implement the `move()` method. The goal of the move() method is to
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convert a move defined in cartesian space to a series of stepper
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step times that implement the requested movement.
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* The `move()` method is passed a "print_time" parameter (which
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stores a time in seconds) and a "move" class instance that fully
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defines the movement. The goal is to repeatedly invoke the
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`stepper.step()` method with the time (relative to print_time)
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that each stepper should step at to obtain the desired motion.
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* One "trick" to help with the movement calculations is to imagine
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there is a physical rail between `move.start_pos` and
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`move.end_pos` that confines the print head so that it can only
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move along this straight line of motion. Then, if the head is
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confined to that imaginary rail, the head is at `move.start_pos`,
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only one stepper is enabled (all other steppers can move freely),
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and the given stepper is stepped a single step, then one can
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imagine that the head will move along the line of movement some
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distance. Determine the formula converting this step distance to
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distance along the line of movement. Once one has the distance
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along the line of movement, one can figure out the time that the
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head should be at that position (using the standard formulas for
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velocity and acceleration). This time is the ideal step time for
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the given stepper and it can be passed to the `stepper.step()`
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method.
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* The `stepper.step()` method must always be called with an
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increasing time for a given stepper (steps must be scheduled in
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the order they are to be executed). A common error during
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kinematic development is to receive an "Internal error in
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stepcompress" failure - this is generally due to the step()
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method being invoked with a time earlier than the last scheduled
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step. For example, if the last step in move1 is scheduled at a
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time greater than the first step in move2 it will generally
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result in the above error.
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* Fractional steps. Be aware that a move request is given in
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cartesian space and it is not confined to discreet
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locations. Thus a move's start and end locations may translate to
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a location on a stepper axis that is between two steps (a
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fractional step). The code must handle this. The preferred
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approach is to schedule the next step at the time a move would
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position the stepper axis at least half way towards the next
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possible step location. Incorrect handling of fractional steps is
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a common cause of "Internal error in stepcompress" failures.
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6. Other methods. The `home()`, `check_move()`, and other methods
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3. Implement the C stepper kinematic position functions for each
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stepper if they are not already available (see kin_cart.c,
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kin_corexy.c, and kin_delta.c in klippy/chelper/). The function
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should call `move_get_coord()` to convert a given move time (in
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seconds) to a cartesian coordinate (in millimeters), and then
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calculate the desired stepper position (in millimeters) from that
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cartesian coordinate.
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4. Implement the `set_position()` method in the python code. This also
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calculates the desired stepper positions given a cartesian
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coordinate.
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5. Implement the `get_position()` method in the new kinematics
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class. This method is the inverse of set_position(). It does not
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need to be efficient as it is typically only called during homing
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and probing operations.
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6. Implement the `move()` method. This method generally invokes the
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iterative solver for each stepper.
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7. Other methods. The `home()`, `check_move()`, and other methods
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should also be implemented. However, at the start of development
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one can use empty code here.
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7. Implement test cases. Create a g-code file with a series of moves
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8. Implement test cases. Create a g-code file with a series of moves
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that can test important cases for the given kinematics. Follow the
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[debugging documentation](Debugging.md) to convert this g-code file
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to micro-controller commands. This is useful to exercise corner
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cases and to check for regressions.
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8. Optimize if needed. One may notice that the existing kinematic
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classes do not call `stepper.step()`. This is purely an
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optimization - the inner loop of the kinematic calculations were
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moved to C to reduce load on the host cpu. All of the existing
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kinematic classes started development using `stepper.step()` and
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then were later optimized. The g-code to mcu command translation
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(described in the previous step) is a useful tool during
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optimization - if a code change is purely an optimization then it
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should not impact the resulting text representation of the mcu
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commands (though minor changes in output due to floating point
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rounding are possible). So, one can use this system to detect
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regressions.
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Time
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====
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