Type: Open loop control
State/action space contraints: -
Optimal: -
Versatility: -
This controller is designed to feed a precomputed trajectory in from of a csv file to the simulator or the real pendulum. Particulary, the controller can process trajectories that have been found with help of the trajectory optimization methods.
The controller needs pendulum parameters as input during initialization:
OpenLoopController.__init__(self, data_dict)
inputs:
data_dict: dictionary
A dictionary containing a trajectory in the below specified format
The data_dict dictionary should have the entries:
data_dict["des_time"] : desired timesteps
data_dict["des_pos"] : desired positions
data_dict["des_vel"] : desired velocities
data_dict["des_tau"] : desired torques
The values are assumed to be in SI units, i.e. time in s, position in rad, velocity in rad/s, torque in Nm.
The control output (\mathbf{u}(\mathbf{x})) can be obtained with the API of the abstract controller class:
OpenLoopController.get_control_output(mean_pos, mean_vel, meas_tau, meas_time)
inputs:
meas_pos: float, position of the pendulum
meas_vel: float, velocity of the pendulum
meas_tau: not used
meas_time: not used
returns:
des_pos, des_vel, u
The function returns the desired position, desired velocity and a torque as specified in the csv file at the given index. The index counter is incremeted by 1 every time the get_control_output function is called.
Before using this controller, first a trajectory has to be defined/calculated and stored to csv file in a suitable format.
The controller will not scale the trajectory according to the time values in the csv file. All it does is return the rows of the file one by one with each call of get_control_output.