void
NFQ_train(struct fann *qlearning_ann, int num_data, state *s, action *a, carmen_simulator_ackerman_config_t *simulator_config)
{
	int k = 0; int b; int N = num_data - 1;
	double gamma = 0.3, target;
	static struct fann_train_data *ann_data;
	static double max_atan_curvature;

	if (ann_data == NULL)
	{
		initialize_ann_data(&ann_data, N*3, 4, 1);
		max_atan_curvature = atan(compute_curvature(carmen_degrees_to_radians(30.0), simulator_config));
	}

	do
	{
		target = c(s[k], a[k], s[k+1]) + gamma * min_b_Q(&b, qlearning_ann, s[k+1], a[k+1], simulator_config);

		ann_data->input[k][0] = s[k].atan_desired_curvature / max_atan_curvature;
		ann_data->input[k][1] = s[k].atan_current_curvature / max_atan_curvature;
		ann_data->input[k][2] = (double) s[k].b / 6.0;
		ann_data->input[k][3] = a[k].steering_command / 100.0;
		ann_data->output[k][0] = target;
		//fprintf(stdout, "[%d] d: %.5lf c: %.5lf b: %.5lf (%d') s: %.5lf t: %.5lf\n",
		//		k, ann_data->input[k][0], ann_data->input[k][1], ann_data->input[k][2]*10, b, ann_data->input[k][3]*100, ann_data->output[k][0]);
		k++;
	} while(k < N);

    				//(ann, data, max_epochs, epochs_between_reports, desired_error)
	fann_train_on_data(qlearning_ann, ann_data, 200, 0, 0.001);
}
double
compute_new_phi_with_ann_new(carmen_simulator_ackerman_config_t *simulator_config)
{
	static double steering_command = 0.0;
	double atan_current_curvature, atan_desired_curvature;
	static fann_type steering_ann_input[NUM_STEERING_ANN_INPUTS];
	fann_type *steering_ann_output __attribute__ ((unused));
	static struct fann *steering_ann = NULL;

	if (steering_ann == NULL)
	{
		steering_ann = fann_create_from_file("steering_ann.net");
		if (steering_ann == NULL)
		{
			printf("Error: Could not create steering_ann\n");
			exit(1);
		}
		init_steering_ann_input(steering_ann_input);
	}

	atan_current_curvature = atan(compute_curvature(simulator_config->phi, simulator_config));
	atan_desired_curvature = atan(compute_curvature(simulator_config->target_phi, simulator_config));

	compute_steering_with_qlearning(&steering_command,
			atan_desired_curvature, atan_current_curvature, simulator_config->delta_t, simulator_config);

	build_steering_ann_input(steering_ann_input, steering_command, atan_current_curvature);
	steering_ann_output = fann_run(steering_ann, steering_ann_input);

	// Alberto: O ganho de 1.05 abaixo foi necessario pois a rede nao estava gerando curvaturas mais extremas
	//          que nao aparecem no treino, mas apenas rodando livremente na simulacao
	//simulator_config->phi = 1.05 * get_phi_from_curvature(tan(steering_ann_output[0]), simulator_config);
	simulator_config->phi += steering_command / 500.0;
	simulator_config->phi  = carmen_clamp(carmen_degrees_to_radians(-30.0), simulator_config->phi , carmen_degrees_to_radians(30.0));

	if (simulator_config->delta_t != 0 && atan_desired_curvature != 0.0)
	fprintf(stdout, "d_phi: %.5lf phi: %.5lf\n", simulator_config->target_phi, simulator_config->phi);

	return (simulator_config->phi);
}
double
compute_new_phi(carmen_simulator_ackerman_config_t *simulator_config)
{
	double current_curvature;
	double desired_curvature;
	double delta_curvature;
	double minimum_time_to_reach_desired_curvature;

	current_curvature = compute_curvature(simulator_config->phi, simulator_config);
	desired_curvature = compute_curvature(simulator_config->target_phi, simulator_config);
	delta_curvature = desired_curvature - current_curvature;
	minimum_time_to_reach_desired_curvature = fabs(delta_curvature / simulator_config->maximum_steering_command_rate);

	if (minimum_time_to_reach_desired_curvature > simulator_config->delta_t) 
	{
		if (delta_curvature < 0.0) 
			current_curvature -= simulator_config->maximum_steering_command_rate * simulator_config->delta_t;
		else
			current_curvature += simulator_config->maximum_steering_command_rate * simulator_config->delta_t;
	} 
	else
		current_curvature = desired_curvature;

	if (fabs(current_curvature) > simulator_config->maximum_capable_curvature)
	{
		current_curvature = current_curvature / fabs(current_curvature);
		current_curvature *= simulator_config->maximum_capable_curvature;
	}

	simulator_config->phi = get_phi_from_curvature(current_curvature, simulator_config);

	if (fabs(simulator_config->phi) > simulator_config->max_phi) 
	{
		simulator_config->phi = simulator_config->phi/fabs(simulator_config->phi);
		simulator_config->phi *= simulator_config->max_phi;
	}
	//printf("desired_phi = %lf, phi = %lf\n", simulator_config->target_phi, simulator_config->phi);

	return (simulator_config->phi);
}
double
compute_new_phi_with_ann(carmen_simulator_ackerman_config_t *simulator_config)
{
	static double steering_command = 0.0;
	double atan_current_curvature;
	double atan_desired_curvature;
	static fann_type steering_ann_input[NUM_STEERING_ANN_INPUTS];
	fann_type *steering_ann_output;
	static struct fann *steering_ann = NULL;

	if (steering_ann == NULL)
	{
		steering_ann = fann_create_from_file("steering_ann.net");
		if (steering_ann == NULL)
		{
			printf("Error: Could not create steering_ann\n");
			exit(1);
		}
		init_steering_ann_input(steering_ann_input);
	}

	atan_current_curvature = atan(compute_curvature(simulator_config->phi, simulator_config));
	atan_desired_curvature = atan(compute_curvature(simulator_config->target_phi, simulator_config));

	carmen_ford_escape_hybrid_steering_PID_controler(&steering_command,
		atan_desired_curvature, atan_current_curvature, simulator_config->delta_t);

	build_steering_ann_input(steering_ann_input, steering_command, atan_current_curvature);
	steering_ann_output = fann_run(steering_ann, steering_ann_input);

	// Alberto: O ganho de 1.05 abaixo foi necessario pois a rede nao estava gerando curvaturas mais extremas
	// que nao aparecem no treino mas apenas rodando livremente na simulacao
	simulator_config->phi = 1.05 * get_phi_from_curvature(tan(steering_ann_output[0]), simulator_config);

	return (simulator_config->phi);
}
예제 #5
0
EXPORT void initialize_curvature(						
      Array3<double> level_set, 				// level-set field
      Array3<double> curvature,				// interface curvature
      Array3<double> unsmoothed_curvature,		// interface curvature without smoothing
      int number_primary_cells_i,			// number of primary (pressure) cells in x1 direction
      int number_primary_cells_j,			// number of primary (pressure) cells in x2 direction
      int number_primary_cells_k,			// number of primary (pressure) cells in x3 direction
      double mesh_width_x1,				// grid spacing in x1 direction (uniform)
      double mesh_width_x2,				// grid spacing in x2 direction (uniform)
      double mesh_width_x3,				// grid spacing in x3 direction (uniform)
      int apply_curvature_smoothing,			// =1, apply curvature smoothing
							// =0, use unsmoothed curvature
      int number_curvature_smoothing_steps,		// number of iterations applied in the
							// curvature smoothing algorithm
      int apply_curvature_smoothing_filter 		// =1, apply curvature smoothing filter
	    						// =0, do not apply curvature smoothing filter		
	)
{
	/* compute the curvature */
	
	compute_curvature( level_set, unsmoothed_curvature, 
			    number_primary_cells_i, number_primary_cells_j, number_primary_cells_k,			
			      mesh_width_x1, mesh_width_x2, mesh_width_x3);
	
		
	/* smooth the curvature if necessary */
	
	if(apply_curvature_smoothing)
	{
	    /* apply smoothing algorithm */
	    
	    smooth_curvature(level_set, curvature, unsmoothed_curvature, 
			      number_primary_cells_i, number_primary_cells_j, number_primary_cells_k,			
				mesh_width_x1, mesh_width_x2, mesh_width_x3,
				  apply_curvature_smoothing_filter, number_curvature_smoothing_steps);

	}
	else
	{
	    /* don't bother with smoothing */
	    
      	    copy_cell_centered_field(unsmoothed_curvature,  curvature, 
				number_primary_cells_i, number_primary_cells_j, number_primary_cells_k);
			
	}
}
double
run_qlearning_network(struct fann *qlearning_ann,
        double atan_desired_curvature, double atan_current_curvature, double steering_command, double b, carmen_simulator_ackerman_config_t *simulator_config)
{
        fann_type  ann_input[4], *ann_output;
    	static double max_atan_curvature;
    	static int first_time = 1;

    	if (first_time)
    	{
    		max_atan_curvature = atan(compute_curvature(carmen_degrees_to_radians(30.0), simulator_config));
    		first_time = 0;
    	}

        ann_input[0] = atan_desired_curvature / max_atan_curvature;
        ann_input[1] = atan_current_curvature / max_atan_curvature;
        ann_input[2] = b / 6.0;
        ann_input[3] = steering_command / 100.0;
        ann_output   = fann_run(qlearning_ann, ann_input);
        return ann_output[0];
}