121 lines
4.1 KiB
Mathematica
121 lines
4.1 KiB
Mathematica
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% clc; clear all; close all;
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% get robot description
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run('plnr_idntfcn.m')
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% load pendubot data
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% rawData = load('current_A_5_v_4.mat');
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rawData = load('current_A_0.7_v_1.mat');
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% parse pendubot data
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pendubot.time = rawData.data(:,1) - rawData.data(1,1);
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pendubot.current = rawData.data(:,2);
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pendubot.current_desired = rawData.data(:,4);
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pendubot.torque = rawData.data(:,3);
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pendubot.shldr_position = rawData.data(:,7) - pi/2; % to fit model
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pendubot.shldr_velocity = rawData.data(:,9);
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pendubot.elbw_position = rawData.data(:,8);
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pendubot.elbw_velocity = rawData.data(:,10);
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pendubot.position_desired = rawData.data(:,5);
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pendubot.velocity_desired = rawData.data(:,6);
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% filter velocties with zero phas filter
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vlcty_fltr = designfilt('lowpassiir','FilterOrder',5, ...
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'HalfPowerFrequency',0.25,'DesignMethod','butter');
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pendubot.shldr_velocity_filtered = filtfilt(vlcty_fltr, pendubot.shldr_velocity);
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pendubot.elbw_velocity_filtered = filtfilt(vlcty_fltr, pendubot.elbw_velocity);
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% estimating accelerations based on filtered velocities
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q2d1 = zeros(size(pendubot.shldr_velocity));
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q2d2 = zeros(size(pendubot.elbw_velocity));
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for i = 2:size(pendubot.shldr_velocity,1)-1
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q2d1(i) = (pendubot.shldr_velocity_filtered(i+1) - pendubot.shldr_velocity_filtered(i-1))/...
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(pendubot.time(i+1) - pendubot.time(i-1));
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q2d2(i) = (pendubot.elbw_velocity_filtered(i+1) - pendubot.elbw_velocity_filtered(i-1))/...
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(pendubot.time(i+1) - pendubot.time(i-1));
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end
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pendubot.shldr_acceleration = q2d1;
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pendubot.elbow_acceleration = q2d2;
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% filter estimated accelerations with zero phase filter
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aclrtn_fltr = designfilt('lowpassiir','FilterOrder',5, ...
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'HalfPowerFrequency',0.25,'DesignMethod','butter');
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pendubot.shldr_acceleration_filtered = filtfilt(aclrtn_fltr, pendubot.shldr_acceleration);
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pendubot.elbow_acceleration_filtered = filtfilt(aclrtn_fltr, pendubot.elbow_acceleration);
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% filter torque measurements using zero phase filter
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trq_fltr = designfilt('lowpassiir','FilterOrder',5, ...
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'HalfPowerFrequency',0.2,'DesignMethod','butter');
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pendubot.torque_filtered = filtfilt(trq_fltr, pendubot.torque);
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%%
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return
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plotJointPositions(pendubot)
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plotJointVelocities(pendubot)
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plotJointAccelerations(pendubot)
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plnr_visualize([pendubot.shldr_position, pendubot.elbw_position], plnr)
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%% Functions
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function plotJointPositions(pendubot)
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figure
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subplot(2,1,1)
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plot(pendubot.time, pendubot.shldr_position)
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xlim([0 1])
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xlabel('$t$, sec','interpreter', 'latex')
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ylabel('$q_1$, rad','interpreter', 'latex')
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grid on
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subplot(2,1,2)
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plot(pendubot.time, pendubot.elbw_position)
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xlim([0 1])
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xlabel('$t$, sec','interpreter', 'latex')
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ylabel('$q_2$, rad','interpreter', 'latex')
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grid on
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end
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function plotJointVelocities(pendubot)
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figure
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subplot(2,1,1)
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plot(pendubot.time, pendubot.shldr_velocity)
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hold on
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plot(pendubot.time, pendubot.shldr_velocity_filtered)
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xlim([0 5])
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xlabel('$t$, sec','interpreter', 'latex')
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ylabel('$\dot{q}_1$, rad/s','interpreter', 'latex')
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legend('measured', 'filtered')
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grid on
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subplot(2,1,2)
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plot(pendubot.time, pendubot.elbw_velocity)
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hold on
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plot(pendubot.time, pendubot.elbw_velocity_filtered)
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xlim([0 5])
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xlabel('t, sec','interpreter', 'latex')
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ylabel('$\dot{q}_2$, rad/s','interpreter', 'latex')
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legend('measured', 'filtered')
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grid on
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end
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function plotJointAccelerations(pendubot)
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figure
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subplot(2,1,1)
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plot(pendubot.time, pendubot.shldr_acceleration)
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hold on
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plot(pendubot.time, pendubot.shldr_acceleration_filtered)
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xlim([0 2])
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xlabel('$t$, sec','interpreter', 'latex')
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ylabel('$\ddot{q}_1$, rad/s$^2$','interpreter', 'latex')
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legend('estimate', 'filetered estimate')
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grid on
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subplot(2,1,2)
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plot(pendubot.time, pendubot.elbow_acceleration)
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hold on
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plot(pendubot.time, pendubot.elbow_acceleration_filtered)
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xlim([0 2])
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xlabel('$t$, sec','interpreter', 'latex')
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ylabel('$\ddot{q}_2$, rad/s$^2$','interpreter', 'latex')
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legend('estimate', 'filetered estimate')
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grid on
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end
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