refactor(mc_nn_control): convert params.c to module.yaml

Convert 1 parameter file(s) from legacy C format to YAML
module configuration.

src/modules/mc_nn_control/CMakeLists.txt

@@ -44,6 +44,8 @@ px4_add_module(
 		mc_nn_control.hpp
 		control_net.cpp
 		control_net.hpp
+	MODULE_CONFIG
+		mc_nn_control_params.yaml
 	DEPENDS
 		tensorflow_lite_micro
 		px4_work_queue

src/modules/mc_nn_control/mc_nn_control_params.c

@@ -1,83 +0,0 @@
-/****************************************************************************
- *
- *   Copyright (c) 2025 PX4 Development Team. All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions
- * are met:
- *
- * 1. Redistributions of source code must retain the above copyright
- *    notice, this list of conditions and the following disclaimer.
- * 2. Redistributions in binary form must reproduce the above copyright
- *    notice, this list of conditions and the following disclaimer in
- *    the documentation and/or other materials provided with the
- *    distribution.
- * 3. Neither the name PX4 nor the names of its contributors may be
- *    used to endorse or promote products derived from this software
- *    without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
- * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
- * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
- * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
- * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
- * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
- * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
- * OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
- * AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
- * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
- * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
- * POSSIBILITY OF SUCH DAMAGE.
- *
- ****************************************************************************/
-
-/**
- * @file mc_nn_control_params.c
- * Parameters for the Multicopter Neural Network Control module
- *
- * @author Sindre Meyer Hegre <sindre.hegre@gmail.com>
- */
-
-/**
- * If true the neural network control is automatically started on boot.
- *
- * @boolean
- * @group Neural Control
- */
-PARAM_DEFINE_INT32(MC_NN_EN, 1);
-
-/**
- * The maximum RPM of the motors. Used to normalize the output of the neural network.
- *
- * @min 0
- * @max 80000
- * @group Neural Control
- */
-PARAM_DEFINE_INT32(MC_NN_MAX_RPM, 22000);
-
-/**
- * The minimum RPM of the motors. Used to normalize the output of the neural network.
- *
- * @min 0
- * @max 80000
- * @group Neural Control
- */
-PARAM_DEFINE_INT32(MC_NN_MIN_RPM, 1000);
-
-/**
- * Thrust coefficient of the motors. Used to normalize the output of the neural network. Divided by 100 000
- *
- * @min 0.0
- * @max 5.0
- * @group Neural Control
- */
-PARAM_DEFINE_FLOAT(MC_NN_THRST_COEF, 1.2f);
-
-/**
- * Enable or disable setting the trajectory setpoint with manual control.
- *
- * @boolean
- * @reboot_required true
- * @group Neural Control
- */
-PARAM_DEFINE_INT32(MC_NN_MANL_CTRL, 1);

src/modules/mc_nn_control/mc_nn_control_params.yaml

@@ -0,0 +1,42 @@
+module_name: mc_nn_control
+parameters:
+- group: Neural Control
+  definitions:
+    MC_NN_EN:
+      description:
+        short: If true the neural network control is automatically started on boot
+      type: boolean
+      default: 1
+    MC_NN_MAX_RPM:
+      description:
+        short: Max motor RPM for neural network normalization
+        long: The maximum RPM of the motors. Used to normalize the output of the neural
+          network
+      type: int32
+      default: 22000
+      min: 0
+      max: 80000
+    MC_NN_MIN_RPM:
+      description:
+        short: Min motor RPM for neural network normalization
+        long: The minimum RPM of the motors. Used to normalize the output of the neural
+          network
+      type: int32
+      default: 1000
+      min: 0
+      max: 80000
+    MC_NN_THRST_COEF:
+      description:
+        short: Motor thrust coefficient for NN normalization
+        long: Thrust coefficient of the motors. Used to normalize the output of the
+          neural network. Divided by 100 000
+      type: float
+      default: 1.2
+      min: 0.0
+      max: 5.0
+    MC_NN_MANL_CTRL:
+      description:
+        short: Enable or disable setting the trajectory setpoint with manual control
+      type: boolean
+      default: 1
+      reboot_required: true