from hardware.dobot_nova5 import dobot_nova5 from hardware.force_sensor import XjcSensor from algorithms.arm_state import ArmState from algorithms.controller_manager import ControllerManager from algorithms.admittance_controller import AdmittanceController from algorithms.position_controller import PositionController from tools.log import CustomLogger from tools.yaml_operator import read_yaml from tools.Rate import Rate import numpy as np import threading import time import os from scipy.spatial.transform import Rotation as R class MassageRobot: def __init__(self,arm_config_path,is_log=False): self.logger = CustomLogger( log_name="测试日志", log_file="logs/MassageRobot_nova5_test.log", precise_time=True) if is_log: self.logger_data = CustomLogger(log_name="运动数据日志", log_file="logs/MassageRobot_kinematics_data.log", precise_time=True) # 日志线程 threading.Thread(target=self.log_thread,daemon=True).start() self.arm_state = ArmState() self.arm_config = read_yaml(arm_config_path) # arm 实例化时机械臂类内部进行通讯连接 self.arm = dobot_nova5(arm_ip=self.arm_config['arm_ip']) self.force_sensor = XjcSensor(host=self.arm_config['arm_ip'],port=60000) # 控制器初始化(初始化为导纳控制) self.controller_manager = ControllerManager(self.arm_state) self.controller_manager.add_controller(AdmittanceController,'admittance',self.arm_config['controller'][0]) self.controller_manager.add_controller(PositionController,'position',self.arm_config['controller'][1]) self.controller_manager.switch_controller('admittance') # 按摩头参数暂时使用本地数据 massage_head_dir = self.arm_config['massage_head_dir'] all_items = os.listdir(massage_head_dir) head_config_files = [f for f in all_items if os.path.isfile(os.path.join(massage_head_dir, f))] self.playload_dict = {} for file in head_config_files: file_address = massage_head_dir + '/' + file play_load = read_yaml(file_address) self.playload_dict[play_load['name']] = play_load self.current_head = 'none' # 频率数据赋值 self.control_rate = Rate(self.arm_config['control_rate']) self.sensor_rate = Rate(self.arm_config['sensor_rate']) self.command_rate = Rate(self.arm_config['command_rate']) # 低通滤波 self.cutoff_freq = 80.0 # 停止标志位线程 self.exit_event = threading.Event() self.exit_event.set() # 运行初始化为True self.interrupt_event = threading.Event() self.interrupt_event.clear() # 中断初始化为False self.pause_envent = threading.Event() self.pause_envent.clear() # 暂停初始化为False self.skip_envent = threading.Event() self.skip_envent.clear() # 跳过初始化为False # 按摩调整 self.adjust_wrench_event = threading.Event() self.adjust_wrench_event.clear() # 调整初始化为False self.pos_increment = np.zeros(3,dtype=np.float64) self.adjust_wrench = np.zeros(6,dtype=np.float64) self.is_waitting = False self.last_print_time = 0 self.last_record_time = 0 self.last_command_time = 0 self.move_to_point_count = 0 # 卡尔曼滤波相关初始化 self.x_base = np.zeros(6) self.P_base = np.eye(6) # 过程噪声协方差矩阵 self.Q_base = np.eye(6) * 0.01 # 测量噪声协方差矩阵 self.R_base = np.eye(6) * 0.1 self.x_tcp = np.zeros(6) self.P_tcp = np.eye(6) # 过程噪声协方差矩阵 self.Q_tcp = np.eye(6) * 0.01 # 测量噪声协方差矩阵 self.R_tcp = np.eye(6) * 0.1 # 传感器故障计数器 self.sensor_fail_count = 0 # 机械臂初始化,适配中间层 self.arm.init() # 预测步骤 def kalman_predict(self,x, P, Q): # 预测状态（这里假设状态不变） x_predict = x # 预测误差协方差 P_predict = P + Q return x_predict, P_predict # 更新步骤 def kalman_update(self,x_predict, P_predict, z, R): # 卡尔曼增益 K = P_predict @ np.linalg.inv(P_predict + R) # 更新状态 x_update = x_predict + K @ (z - x_predict) # 更新误差协方差 P_update = (np.eye(len(K)) - K) @ P_predict return x_update, P_update def update_wrench(self): compensation_config = self.playload_dict[self.current_head] # 读取数据 gravity_base = np.array(compensation_config['gravity_base']) force_zero = np.array(compensation_config['force_zero']) torque_zero = np.array(compensation_config['torque_zero']) tool_position = np.array(compensation_config['tcp_offset']) mass_center_position = np.array(compensation_config['mass_center_position']) # 当前的机械臂到末端转换 (实时) b_rotation_s = R.from_quat(self.arm_state.arm_orientation).as_matrix() # 读取数据 sensor_data = self.force_sensor.read() if sensor_data is None: self.force_sensor.stop_background_reading() self.logger.log_error("传感器数据读取失败") return -1 # 传感器数据通过矫正计算得到外来施加力 传感器坐标系下 # 重力和零位 gravity_in_sensor = b_rotation_s.T @ gravity_base s_force = sensor_data[:3] - force_zero - gravity_in_sensor # 力矩 s_torque = sensor_data[3:] - torque_zero - np.cross(mass_center_position,gravity_in_sensor) wrench = np.concatenate([s_force,s_torque]) # 传感器工具转换 s_tf_matrix_t = self.get_tf_matrix(tool_position[:3], R.from_euler('xyz',tool_position[3:],degrees=False).as_quat()) # 传感器到TCP wrench = self.wrench_coordinate_conversion(s_tf_matrix_t,wrench) # 交给ARM STATE集中管理 self.arm_state.external_wrench_tcp = wrench self.arm_state.external_wrench_base = np.concatenate([b_rotation_s @ self.arm_state.external_wrench_tcp[:3], b_rotation_s @ self.arm_state.external_wrench_tcp[3:]]) # 卡尔曼滤波 x_base_predict, P_base_predict = self.kalman_predict(x = self.x_base, P = self.P_base, Q = self.Q_base) self.x_base, self.P_base = self.kalman_update(x_predict = x_base_predict, P_predict = P_base_predict, z = self.arm_state.external_wrench_base, R = self.R_base) self.arm_state.external_wrench_base = self.x_base self.arm_state.last_external_wrench_base = self.arm_state.external_wrench_base # 对tcp坐标系下的外力外矩进行平滑 x_tcp_predict, P_tcp_predict = self.kalman_predict(x = self.x_tcp, P = self.P_tcp, Q = self.Q_tcp) self.x_tcp, self.P_tcp = self.kalman_update(x_predict = x_tcp_predict, P_predict = P_tcp_predict, z = self.arm_state.external_wrench_tcp, R = self.R_tcp) self.arm_state.external_wrench_tcp = self.x_tcp self.arm_state.last_external_wrench_tcp = self.arm_state.external_wrench_tcp return 0 def arm_measure_loop(self): self.logger.log_info("机械臂测量线程启动") while (not self.arm.is_exit) and (not self.exit_event.is_set()): try: if not self.is_waitting: self.arm_state.arm_position, self.arm_state.arm_orientation = self.arm.get_arm_position() code = self.update_wrench() if code == -1: self.sensor_fail_count += 1 self.logger.log_error(f"传感器线程数据读取失败-{self.sensor_fail_count}") if self.sensor_fail_count > 10: self.logger.log_error("传感器线程数据读取失败超过10次,程序终止") self.stop() break else: self.sensor_fail_count = 0 except Exception as e: self.logger.log_error(f"机械臂测量线程报错:{e}") self.exit_event.set() # 控制退出while self.sensor_rate.precise_sleep() # 控制频率 def arm_command_loop(self): self.logger.log_info("机械臂控制线程启动") while (not self.arm.is_exit) and (not self.exit_event.is_set()): try: if not self.is_waitting: self.controller_manager.step(self.control_rate.to_sec()) self.last_command_time += 1 code = self.arm.ServoPose(self.arm_state.arm_position, self.arm_state.arm_orientation_command) if code == -1: self.logger.log_error("机械臂急停") # self.stop() # 底层已经做了急停处理 break except Exception as e: self.logger.log_error(f"机械臂控制失败:{e}") self.exit_event.set() self.control_rate.precise_sleep() def start(self): if self.exit_event.is_set(): # 线程 self.exit_event.clear() self.arm_measure_thread = threading.Thread(target=self.arm_measure_loop) self.arm_control_thread = threading.Thread(target=self.arm_command_loop) self.arm_measure_thread.start() position,quat_rot = self.arm.get_arm_position() # 初始值 self.arm_state.desired_position = position self.arm_state.arm_position_command = position self.arm_state.desired_orientation = quat_rot self.arm_state.arm_orientation_command = quat_rot self.logger.log_info("MassageRobot启动") time.sleep(0.5) def stop(self): if not self.exit_event.is_set(): self.exit_event.set() self.interrupt_event.clear() self.arm_control_thread.join() self.arm_measure_thread.join() for i in range(3): self.force_sensor.disable_active_transmission() self.force_sensor.start_background_reading() self.arm.stop_motion() self.logger.log_info("MassageRobot停止") def init_hardwares(self,ready_pose): self.ready_pose = np.array(ready_pose) self.switch_payload(self.current_head) self.arm_state.desired_orientation = self.ready_pose[:3] euler_angles = self.ready_pose self.arm_state.desired_orientation = R.from_euler('xyz',euler_angles).as_quat() time.sleep(0.5) def switch_payload(self,name): if name in self.playload_dict: self.stop() self.current_head = name tcp_offset = self.playload_dict[name]["tcp_offset"] tcp_offset_str = "{" + ",".join(map(str, tcp_offset)) + "}" print(tcp_offset_str) self.arm.setEndEffector(i=1,tool_i=tcp_offset_str) self.arm.chooseEndEffector(i=1) self.logger.log_info(f"切换到{name}按摩头") R_matrix = R.from_euler('xyz',self.ready_pose[3:] ,degrees=False).as_matrix() ready_position = self.ready_pose[:3] + R_matrix @ self.playload_dict[self.current_head]['tcp_offset'][:3] ready_orientation = R_matrix @ R.from_euler('xyz',self.playload_dict[self.current_head]['tcp_offset'][3:],degrees=False).as_matrix() ready_orientation_euler = R.from_matrix(ready_orientation).as_euler('xyz',degrees=False) self.arm_state.desired_position = ready_position self.arm_state.desired_orientation = R.from_euler('xyz',ready_orientation_euler,degrees=False).as_quat() self.controller_manager.switch_controller('position') else: self.logger.log_error(f"未找到{name}按摩头") def log_thread(self): while True: self.logger_data.log_info(f"机械臂位置:{self.arm_state.arm_position},机械臂姿态:{self.arm_state.arm_orientation}",is_print=False) self.logger_data.log_info(f"机械臂期望位置:{self.arm_state.desired_position},机械臂真实位置:{self.arm_state.arm_position}",is_print=False) self.logger_data.log_info(f"机械臂期望姿态:{self.arm_state.desired_orientation},机械臂真实姿态:{self.arm_state.arm_orientation}",is_print=False) self.logger_data.log_info(f"机械臂期望力矩:{self.arm_state.desired_wrench},机械臂真实力矩:{self.arm_state.external_wrench_base}",is_print=False) self.logger_data.log_info(f"当前按摩头:{self.current_head}",is_print=False) time.sleep(1) # 工具函数 def get_tf_matrix(position,orientation): tf_matrix = np.eye(4) rotation_matrix = R.from_quat(orientation).as_matrix() tf_matrix[:3,3] = position tf_matrix[:3,:3] = rotation_matrix return tf_matrix def wrench_coordinate_conversion(tf_matrix, wrench): rot_matrix = tf_matrix[:3, :3] vector_p = tf_matrix[:3, 3] temp_force = wrench[:3] torque = wrench[3:] force = rot_matrix.T @ temp_force torque = rot_matrix.T @ np.cross(temp_force,vector_p) + rot_matrix.T @ torque return np.concatenate([force, torque]) if __name__ == "__main__": robot = MassageRobot(arm_config_path="MassageControl/config/robot_config.yaml")