#+TITLE: Stewart Platform - Simscape Model :DRAWER: #+STARTUP: overview #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+HTML_HEAD: #+LATEX_CLASS: cleanreport #+LaTeX_CLASS_OPTIONS: [tocnp, secbreak, minted] #+LaTeX_HEADER: \usepackage{svg} #+LaTeX_HEADER: \newcommand{\authorFirstName}{Thomas} #+LaTeX_HEADER: \newcommand{\authorLastName}{Dehaeze} #+LaTeX_HEADER: \newcommand{\authorEmail}{dehaeze.thomas@gmail.com} #+PROPERTY: header-args:matlab :session *MATLAB* #+PROPERTY: header-args:matlab+ :comments no #+PROPERTY: header-args:matlab+ :exports bode #+PROPERTY: header-args:matlab+ :eval no #+PROPERTY: header-args:matlab+ :output-dir figs #+PROPERTY: header-args:matlab+ :mkdirp yes #+PROPERTY: header-args:matlab+ :tangle src/initializeHexapod.m :END: * Function description and arguments The =initializeHexapod= function takes one structure that contains configurations for the hexapod and returns one structure representing the hexapod. #+begin_src matlab function [stewart] = initializeHexapod(opts_param) #+end_src Default values for opts. #+begin_src matlab opts = struct(... 'height', 90, ... % Height of the platform [mm] 'density', 8000, ... % Density of the material used for the hexapod [kg/m3] 'k_ax', 1e8, ... % Stiffness of each actuator [N/m] 'c_ax', 1000, ... % Damping of each actuator [N/(m/s)] 'stroke', 50e-6, ... % Maximum stroke of each actuator [m] 'name', 'stewart' ... % Name of the file ); #+end_src Populate opts with input parameters #+begin_src matlab if exist('opts_param','var') for opt = fieldnames(opts_param)' opts.(opt{1}) = opts_param.(opt{1}); end end #+end_src * Initialization of the stewart structure We initialize the Stewart structure #+begin_src matlab stewart = struct(); #+end_src And we defined its total height. #+begin_src matlab stewart.H = opts.height; % [mm] #+end_src * Bottom Plate #+name: fig:stewart_bottom_plate #+caption: Schematic of the bottom plates with all the parameters [[file:./figs/stewart_bottom_plate.png]] The bottom plate structure is initialized. #+begin_src matlab BP = struct(); #+end_src We defined its internal radius (if there is a hole in the bottom plate) and its outer radius. #+begin_src matlab BP.Rint = 0; % Internal Radius [mm] BP.Rext = 150; % External Radius [mm] #+end_src We define its thickness. #+begin_src matlab BP.H = 10; % Thickness of the Bottom Plate [mm] #+end_src At which radius legs will be fixed and with that angle offset. #+begin_src matlab BP.Rleg = 100; % Radius where the legs articulations are positionned [mm] BP.alpha = 10; % Angle Offset [deg] #+end_src We defined the density of the material of the bottom plate. #+begin_src matlab BP.density = opts.density; % Density of the material [kg/m3] #+end_src And its color. #+begin_src matlab BP.color = [0.7 0.7 0.7]; % Color [RGB] #+end_src Then the profile of the bottom plate is computed and will be used by Simscape #+begin_src matlab BP.shape = [BP.Rint BP.H; BP.Rint 0; BP.Rext 0; BP.Rext BP.H]; % [mm] #+end_src The structure is added to the stewart structure #+begin_src matlab stewart.BP = BP; #+end_src * Top Plate The top plate structure is initialized. #+begin_src matlab TP = struct(); #+end_src We defined the internal and external radius of the top plate. #+begin_src matlab TP.Rint = 0; % [mm] TP.Rext = 100; % [mm] #+end_src The thickness of the top plate. #+begin_src matlab TP.H = 10; % [mm] #+end_src At which radius and angle are fixed the legs. #+begin_src matlab TP.Rleg = 100; % Radius where the legs articulations are positionned [mm] TP.alpha = 20; % Angle [deg] TP.dalpha = 0; % Angle Offset from 0 position [deg] #+end_src The density of its material. #+begin_src matlab TP.density = opts.density; % Density of the material [kg/m3] #+end_src Its color. #+begin_src matlab TP.color = [0.7 0.7 0.7]; % Color [RGB] #+end_src Then the shape of the top plate is computed #+begin_src matlab TP.shape = [TP.Rint TP.H; TP.Rint 0; TP.Rext 0; TP.Rext TP.H]; #+end_src The structure is added to the stewart structure #+begin_src matlab stewart.TP = TP; #+end_src * Legs #+name: fig:stewart_legs #+caption: Schematic for the legs of the Stewart platform [[file:./figs/stewart_legs.png]] The leg structure is initialized. #+begin_src matlab Leg = struct(); #+end_src The maximum Stroke of each leg is defined. #+begin_src matlab Leg.stroke = opts.stroke; % [m] #+end_src The stiffness and damping of each leg are defined #+begin_src matlab Leg.k_ax = opts.k_ax; % Stiffness of each leg [N/m] Leg.c_ax = opts.c_ax; % Damping of each leg [N/(m/s)] #+end_src The radius of the legs are defined #+begin_src matlab Leg.Rtop = 10; % Radius of the cylinder of the top part of the leg[mm] Leg.Rbot = 12; % Radius of the cylinder of the bottom part of the leg [mm] #+end_src The density of its material. #+begin_src matlab Leg.density = opts.density; % Density of the material used for the legs [kg/m3] #+end_src Its color. #+begin_src matlab Leg.color = [0.5 0.5 0.5]; % Color of the top part of the leg [RGB] #+end_src The radius of spheres representing the ball joints are defined. #+begin_src matlab Leg.R = 1.3*Leg.Rbot; % Size of the sphere at the extremity of the leg [mm] #+end_src The structure is added to the stewart structure #+begin_src matlab stewart.Leg = Leg; #+end_src * Ball Joints #+name: fig:stewart_ball_joints #+caption: Schematic of the support for the ball joints [[file:./figs/stewart_ball_joints.png]] =SP= is the structure representing the support for the ball joints at the extremity of each leg. The =SP= structure is initialized. #+begin_src matlab SP = struct(); #+end_src We can define its rotational stiffness and damping. For now, we use perfect joints. #+begin_src matlab SP.k = 0; % [N*m/deg] SP.c = 0; % [N*m/deg] #+end_src Its height is defined #+begin_src matlab SP.H = 15; % [mm] #+end_src Its radius is based on the radius on the sphere at the end of the legs. #+begin_src matlab SP.R = Leg.R; % [mm] #+end_src #+begin_src matlab SP.section = [0 SP.H-SP.R; 0 0; SP.R 0; SP.R SP.H]; #+end_src The density of its material is defined. #+begin_src matlab SP.density = opts.density; % [kg/m^3] #+end_src Its color is defined. #+begin_src matlab SP.color = [0.7 0.7 0.7]; % [RGB] #+end_src The structure is added to the Hexapod structure #+begin_src matlab stewart.SP = SP; #+end_src * More parameters are initialized #+begin_src matlab stewart = initializeParameters(stewart); #+end_src * Save the Stewart Structure #+begin_src matlab save('./mat/stewart.mat', 'stewart') #+end_src * initializeParameters Function :noexport: :PROPERTIES: :HEADER-ARGS:matlab+: :tangle no :END: #+begin_src matlab function [stewart] = initializeParameters(stewart) #+end_src Computation of the position of the connection points on the base and moving platform We first initialize =pos_base= corresponding to $[a_1, a_2, a_3, a_4, a_5, a_6]^T$ and =pos_top= corresponding to $[b_1, b_2, b_3, b_4, b_5, b_6]^T$. #+begin_src matlab stewart.pos_base = zeros(6, 3); stewart.pos_top = zeros(6, 3); #+end_src We estimate the height between the ball joints of the bottom platform and of the top platform. #+begin_src matlab height = stewart.H - stewart.BP.H - stewart.TP.H - 2*stewart.SP.H; % [mm] #+end_src #+begin_src matlab for i = 1:3 % base points angle_m_b = 120*(i-1) - stewart.BP.alpha; angle_p_b = 120*(i-1) + stewart.BP.alpha; stewart.pos_base(2*i-1,:) = [stewart.BP.Rleg*cos(angle_m_b), stewart.BP.Rleg*sin(angle_m_b), 0.0]; stewart.pos_base(2*i,:) = [stewart.BP.Rleg*cos(angle_p_b), stewart.BP.Rleg*sin(angle_p_b), 0.0]; % top points angle_m_t = 120*(i-1) - stewart.TP.alpha + stewart.TP.dalpha; angle_p_t = 120*(i-1) + stewart.TP.alpha + stewart.TP.dalpha; stewart.pos_top(2*i-1,:) = [stewart.TP.Rleg*cos(angle_m_t), stewart.TP.Rleg*sin(angle_m_t), height]; stewart.pos_top(2*i,:) = [stewart.TP.Rleg*cos(angle_p_t), stewart.TP.Rleg*sin(angle_p_t), height]; end % permute pos_top points so that legs are end points of base and top points stewart.pos_top = [stewart.pos_top(6,:); stewart.pos_top(1:5,:)]; %6th point on top connects to 1st on bottom stewart.pos_top_tranform = stewart.pos_top - height*[zeros(6, 2),ones(6, 1)]; #+end_src leg vectors #+begin_src matlab legs = stewart.pos_top - stewart.pos_base; leg_length = zeros(6, 1); leg_vectors = zeros(6, 3); for i = 1:6 leg_length(i) = norm(legs(i,:)); leg_vectors(i,:) = legs(i,:) / leg_length(i); end stewart.Leg.lenght = 1000*leg_length(1)/1.5; stewart.Leg.shape.bot = [0 0; ... stewart.Leg.rad.bottom 0; ... stewart.Leg.rad.bottom stewart.Leg.lenght; ... stewart.Leg.rad.top stewart.Leg.lenght; ... stewart.Leg.rad.top 0.2*stewart.Leg.lenght; ... 0 0.2*stewart.Leg.lenght]; #+end_src Calculate revolute and cylindrical axes #+begin_src matlab rev1 = zeros(6, 3); rev2 = zeros(6, 3); cyl1 = zeros(6, 3); for i = 1:6 rev1(i,:) = cross(leg_vectors(i,:), [0 0 1]); rev1(i,:) = rev1(i,:) / norm(rev1(i,:)); rev2(i,:) = - cross(rev1(i,:), leg_vectors(i,:)); rev2(i,:) = rev2(i,:) / norm(rev2(i,:)); cyl1(i,:) = leg_vectors(i,:); end #+end_src Coordinate systems #+begin_src matlab stewart.lower_leg = struct('rotation', eye(3)); stewart.upper_leg = struct('rotation', eye(3)); for i = 1:6 stewart.lower_leg(i).rotation = [rev1(i,:)', rev2(i,:)', cyl1(i,:)']; stewart.upper_leg(i).rotation = [rev1(i,:)', rev2(i,:)', cyl1(i,:)']; end #+end_src Position Matrix #+begin_src matlab stewart.M_pos_base = stewart.pos_base + (height+(stewart.TP.h+stewart.Leg.sphere.top+stewart.SP.h.top+stewart.jacobian)*1e-3)*[zeros(6, 2),ones(6, 1)]; #+end_src Compute Jacobian Matrix #+begin_src matlab % aa = stewart.pos_top_tranform + (stewart.jacobian - stewart.TP.h - stewart.SP.height.top)*1e-3*[zeros(6, 2),ones(6, 1)]; bb = stewart.pos_top_tranform - (stewart.TP.h + stewart.SP.height.top)*1e-3*[zeros(6, 2),ones(6, 1)]; bb = bb - stewart.jacobian*1e-3*[zeros(6, 2),ones(6, 1)]; stewart.J = getJacobianMatrix(leg_vectors', bb'); stewart.K = stewart.Leg.k.ax*stewart.J'*stewart.J; end #+end_src * initializeParameters Function #+begin_src matlab function [stewart] = initializeParameters(stewart) #+end_src We first compute $[a_1, a_2, a_3, a_4, a_5, a_6]^T$ and $[b_1, b_2, b_3, b_4, b_5, b_6]^T$. #+begin_src matlab stewart.Aa = zeros(6, 3); % [mm] stewart.Ab = zeros(6, 3); % [mm] stewart.Bb = zeros(6, 3); % [mm] #+end_src #+begin_src matlab for i = 1:3 stewart.Aa(2*i-1,:) = [stewart.BP.Rleg*cos( pi/180*(120*(i-1) - stewart.BP.alpha) ), ... stewart.BP.Rleg*sin( pi/180*(120*(i-1) - stewart.BP.alpha) ), ... stewart.BP.H+stewart.SP.H]; stewart.Aa(2*i,:) = [stewart.BP.Rleg*cos( pi/180*(120*(i-1) + stewart.BP.alpha) ), ... stewart.BP.Rleg*sin( pi/180*(120*(i-1) + stewart.BP.alpha) ), ... stewart.BP.H+stewart.SP.H]; stewart.Ab(2*i-1,:) = [stewart.TP.Rleg*cos( pi/180*(120*(i-1) + stewart.TP.dalpha - stewart.TP.alpha) ), ... stewart.TP.Rleg*sin( pi/180*(120*(i-1) + stewart.TP.dalpha - stewart.TP.alpha) ), ... stewart.H - stewart.TP.H - stewart.SP.H]; stewart.Ab(2*i,:) = [stewart.TP.Rleg*cos( pi/180*(120*(i-1) + stewart.TP.dalpha + stewart.TP.alpha) ), ... stewart.TP.Rleg*sin( pi/180*(120*(i-1) + stewart.TP.dalpha + stewart.TP.alpha) ), ... stewart.H - stewart.TP.H - stewart.SP.H]; end stewart.Bb = stewart.Ab - stewart.H*[0,0,1]; #+end_src Now, we compute the leg vectors $\hat{s}_i$ and leg position $l_i$: \[ b_i - a_i = l_i \hat{s}_i \] We initialize $l_i$ and $\hat{s}_i$ #+begin_src matlab leg_length = zeros(6, 1); % [mm] leg_vectors = zeros(6, 3); #+end_src We compute $b_i - a_i$, and then: \begin{align*} l_i &= \left|b_i - a_i\right| \\ \hat{s}_i &= \frac{b_i - a_i}{l_i} \end{align*} #+begin_src matlab legs = stewart.Ab - stewart.Aa; for i = 1:6 leg_length(i) = norm(legs(i,:)); leg_vectors(i,:) = legs(i,:) / leg_length(i); end #+end_src Then the shape of the bottom leg is estimated #+begin_src matlab stewart.Leg.lenght = leg_length(1)/1.5; stewart.Leg.shape.bot = ... [0 0; ... stewart.Leg.Rbot 0; ... stewart.Leg.Rbot stewart.Leg.lenght; ... stewart.Leg.Rtop stewart.Leg.lenght; ... stewart.Leg.Rtop 0.2*stewart.Leg.lenght; ... 0 0.2*stewart.Leg.lenght]; #+end_src We compute rotation matrices to have the orientation of the legs. The rotation matrix transforms the $z$ axis to the axis of the leg. The other axis are not important here. #+begin_src matlab stewart.Rm = struct('R', eye(3)); for i = 1:6 sx = cross(leg_vectors(i,:), [1 0 0]); sx = sx/norm(sx); sy = -cross(sx, leg_vectors(i,:)); sy = sy/norm(sy); sz = leg_vectors(i,:); sz = sz/norm(sz); stewart.Rm(i).R = [sx', sy', sz']; end #+end_src Compute Jacobian Matrix #+begin_src matlab J = zeros(6); for i = 1:6 J(i, 1:3) = leg_vectors(i, :); J(i, 4:6) = cross(0.001*(stewart.Ab(i, :)- stewart.H*[0,0,1]), leg_vectors(i, :)); end stewart.J = J; stewart.Jinv = inv(J); #+end_src #+begin_src matlab stewart.K = stewart.Leg.k_ax*stewart.J'*stewart.J; #+end_src #+begin_src matlab end end #+end_src * initializeSample :PROPERTIES: :HEADER-ARGS:matlab+: :tangle src/initializeSample.m :END: #+begin_src matlab function [] = initializeSample(opts_param) %% Default values for opts sample = struct( ... 'radius', 100, ... % radius of the cylinder [mm] 'height', 100, ... % height of the cylinder [mm] 'mass', 10, ... % mass of the cylinder [kg] 'measheight', 50, ... % measurement point z-offset [mm] 'offset', [0, 0, 0], ... % offset position of the sample [mm] 'color', [0.9 0.1 0.1] ... ); %% Populate opts with input parameters if exist('opts_param','var') for opt = fieldnames(opts_param)' sample.(opt{1}) = opts_param.(opt{1}); end end %% Save save('./mat/sample.mat', 'sample'); end #+end_src