rne_mdh.m

Robot tool box - provides many functions that are useful in robotics including such things as kinem

%RNE_MDH Compute inverse dynamics via recursive Newton-Euler formulation
%
%	TAU = RNE(ROBOT, Q, QD, QDD)
%	TAU = RNE(ROBOT, [Q QD QDD])
%
% Returns the joint torque required to achieve the specified joint position,
% velocity and acceleration state.
%
% Gravity vector is an attribute of the robot object but this may be 
% overriden by providing a gravity acceleration vector [gx gy gz].
%
%	TAU = RNE(ROBOT, Q, QD, QDD, GRAV)
%	TAU = RNE(ROBOT, [Q QD QDD], GRAV)
%
% An external force/moment acting on the end of the manipulator may also be
% specified by a 6-element vector [Fx Fy Fz Mx My Mz].
%
%	TAU = RNE(ROBOT, Q, QD, QDD, GRAV, FEXT)
%	TAU = RNE(ROBOT, [Q QD QDD], GRAV, FEXT)
%
% where Q, QD and QDD are row vectors of the manipulator state; pos, vel, 
% and accel.
%
% The torque computed also contains a contribution due to armature
% inertia.
%
% RNE can be either an M-file or a MEX-file.  See the manual for details on
% how to configure the MEX-file.  The M-file is a wrapper which calls either
% RNE_DH or RNE_MDH depending on the kinematic conventions used by the robot
% object.
%
% See also: ROBOT, ACCEL, GRAVLOAD, INERTIA.
%

% Copyright (C) 1995-2008, by Peter I. Corke
%
% This file is part of The Robotics Toolbox for Matlab (RTB).
% 
% RTB is free software: you can redistribute it and/or modify
% it under the terms of the GNU Lesser General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
% 
% RTB is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU Lesser General Public License for more details.
% 
% You should have received a copy of the GNU Leser General Public License
% along with RTB.  If not, see <http://www.gnu.org/licenses/>.

function tau = rne_mdh(robot, a1, a2, a3, a4, a5)

	z0 = [0;0;1];
	grav = robot.gravity;	% default gravity from the object
	fext = zeros(6, 1);

	% Set debug to:
	%	0 no messages
	%	1 display results of forward and backward recursions
	%	2 display print R and p*
	debug = 0;

	n = robot.n;
	if numcols(a1) == 3*n,
		Q = a1(:,1:n);
		Qd = a1(:,n+1:2*n);
		Qdd = a1(:,2*n+1:3*n);
		np = numrows(Q);
		if nargin >= 3,	
			grav = a2(:);
		end
		if nargin == 4,
			fext = a3;
		end
	else
		np = numrows(a1);
		Q = a1;
		Qd = a2;
		Qdd = a3;
		if numcols(a1) ~= n | numcols(Qd) ~= n | numcols(Qdd) ~= n | ...
			numrows(Qd) ~= np | numrows(Qdd) ~= np,
			error('bad data');
		end
		if nargin >= 5,	
			grav = a4(:);
		end
		if nargin == 6,
			fext = a5;
		end
	end
	
	tau = zeros(np,n);

	for p=1:np,
		q = Q(p,:)';
		qd = Qd(p,:)';
		qdd = Qdd(p,:)';
	
		Fm = [];
		Nm = [];
		pstarm = [];
		Rm = [];
		w = zeros(3,1);
		wd = zeros(3,1);
		v = zeros(3,1);
		vd = grav(:);

	%
	% init some variables, compute the link rotation matrices
	%
		for j=1:n,
			link = robot.link{j};
			Tj = link(q(j));
			if link.RP == 'R',
				D = link.D;
			else
				D = q(j);
			end
			alpha = link.alpha;
			pm = [link.A; -D*sin(alpha); D*cos(alpha)];	% (i-1) P i
			if j == 1,
				pm = t2r(robot.base) * pm;
				Tj = robot.base * Tj;
			end
			Pm(:,j) = pm;
			Rm{j} = t2r(Tj);
			if debug>1,
				Rm{j}
				Pm(:,j)'
			end
		end

	%
	%  the forward recursion
	%
		for j=1:n,
			link = robot.link{j};

			R = Rm{j}';	% transpose!!
			P = Pm(:,j);
			Pc = link.r;

			%
			% trailing underscore means new value
			%
			if link.RP == 'R',
				% revolute axis
				w_ = R*w + z0*qd(j);
				wd_ = R*wd + cross(R*w,z0*qd(j)) + z0*qdd(j);
				%v = cross(w,P) + R*v;
				vd_ = R * (cross(wd,P) + ...
					cross(w, cross(w,P)) + vd);

			else
				% prismatic axis
				w_ = R*w;
				wd_ = R*wd;
				%v = R*(z0*qd(j) + v) + cross(w,P);
				vd_ = R*(cross(wd,P) + ...
					cross(w, cross(w,P)) + vd ...
				      ) + 2*cross(R*w,z0*qd(j)) + z0*qdd(j);
			end
			% update variables
			w = w_;
			wd = wd_;
			vd = vd_;

			vdC = cross(wd,Pc) + ...
				cross(w,cross(w,Pc)) + vd;
			F = link.m*vdC;
			N = link.I*wd + cross(w,link.I*w);
			Fm = [Fm F];
			Nm = [Nm N];
			if debug,
				fprintf('w: '); fprintf('%.3f ', w)
				fprintf('\nwd: '); fprintf('%.3f ', wd)
				fprintf('\nvd: '); fprintf('%.3f ', vd)
				fprintf('\nvdbar: '); fprintf('%.3f ', vdC)
				fprintf('\n');
			end
		end

	%
	%  the backward recursion
	%

		fext = fext(:);
		f = fext(1:3);		% force/moments on end of arm
		nn = fext(4:6);

		for j=n:-1:1,
			
			%
			% order of these statements is important, since both
			% nn and f are functions of previous f.
			%
			link = robot.link{j};
			
			if j == n,
				R = eye(3,3);
				P = [0;0;0];
			else
				R = Rm{j+1};
				P = Pm(:,j+1);		% i/P/(i+1)
			end
			Pc = link.r;
			
			f_ = R*f + Fm(:,j);
			nn_ = Nm(:,j) + R*nn + cross(Pc,Fm(:,j)) + ...
				cross(P,R*f);
			
			f = f_;
			nn = nn_;

			if debug,
				fprintf('f: '); fprintf('%.3f ', f)
				fprintf('\nn: '); fprintf('%.3f ', nn)
				fprintf('\n');
			end
			if link.RP == 'R',
				% revolute
				tau(p,j) = nn'*z0 + ...
					link.G^2 * link.Jm*qdd(j) + ...
					link.G * friction(link, qd(j));
			else
				% prismatic
				tau(p,j) = f'*z0 + ...
					link.G^2 * link.Jm*qdd(j) + ...
					link.G * friction(link, qd(j));
			end
		end
	end