Concurrent Dynamics delivers high fidelity Multibody Dynamics Simulation programs to assess dynamics and control performances of mechanisms and mobile vehicles to expedite:
Satellite 'Ibuki': courtesy of JAXA
MBS simulations and dynamics formulation notes follow.
1. MBS Simulations
We have ready-to-use simulations for a variety of vehicles and operations. Beside the ones below, more are in the robotics page and in the works. The O(n) equations of motion in these simulations are derived from the Newton-Euler equations of a typical joint connected body. They run on PC's that have Matlab/Simulink or C/C++ Compilers installed. Their main program, XSIM1,
Contact us regarding any of the simulations below by writing to email@example.com. Click 'pdf' for details on creating the model file using the editor, buildx.exe, and on the mdl file or the control.dll file designed for that application and more. We welcome suggestions on vehicle simulations that you would like to have.
XSIM1 Simulations on Simulink Platform.
The Xsim1-series-dll's are our processors that make it possible to simulate the dynamics and control of a wide variety of multibody systems in Simulink. It's the green block in each of the five examples below. For each application, user would build a model file to define the model parameters for the equations of motion processing and operational input and output parameters. With that, the user's task is to define the mapping from the engine output(ydata) to its input(udata) to close the control loop. Click on the pdf or the Simulink diagram to see the details of each of the simulations presented.
SV1sim: Simulates a vehicle with 4 wheels and 8 jets under a nominal rwa ACS and a jet ACS. The control task is to maintain vehicle attitude at LVLH given some initial attitude disturbance. pdf
Arraysim: Simulates an expanded version of SV1sim vehicle. It retains the same ACS, but now has two arrays each with a yoke and 3 panels. The control tasks include a coordinated array deployment using the 'gear' and 'lock' constraints and the maintenance of LVLH attitude with the ACS. pdf
Sep1sim: Simulates the ejection of a satellite from a spinning mothership. The control tasks include ejecting the satellite, deploying the arrays after separation, followed by nulling the satellite rate and capturing LVLH attiude with jet ACS. The remainder of the simulation is to maintain LVLH attitude using RWA ACS. Examples show the VMASS (variable mass) feature of the simulation engine in managing a vehicle mass property discontinuity at the instant of the separation. pdf
Tethersim: Simulates the deployment of a payload with a tether. Tether length and pushoff force are adjustable. Simulation of a case where the vehicle-to-payload mass ratio of ten is presented. The vehicle flies in an inclined near circular LEO orbit. Simulations with different mass ratio can be designed. The tether stiffness and damping must be adjusted according to the mass ratio to obtain a successful tether deployment, i.e. small steady state libration angle. pdf
CMG4sim: Simulates a vehicle with 4 SGCMG's and 6 jets. It has a CMG ACS and it fires jet thrusters to reduce excess vehicle momentum. The vehicle flies in a near circular inclined LEO orbit with an aspherical gravity model. Users can redesign this simulation with different CMG mounting configurations and test the corresponding CMG ACS. LVLH control is presented, sun-nadir ACS can be implemented also. pdf
Simulatons with C-programmable XSIM1
Examples in these packages run on PC's that have C/C++ compilers installed. Each package has the program XSIM1.exe to run simulations based on a user specified model file and a user supplied control.dll file for a user conceived application. Our editor, buildx.exe and application library make the programming of that control.dll file easy by creating a near functional template to accomodate user's control system. The user's manual in each package shows how the model file is built and how the associated control.dll is programmed and compiled for each example.
2. Multibody Dynamics Notes
Kinematics of mechanisms is about computing the motion of bodies in the system given its generalized coordinates and rates. The motion include the attitude of bodies, their position and velocity over time. The coordinates for simple systems comprise of the attitude of the reference body, its cm inertial motion, and all angles between single-axis-joint connected bodies in the system. The coordinates for more complex system would include coordinates for 3 dof relative rotational and relative translational motions between bodies. pdf
Generalized Mass Matrix
One encounters generalized mass matrix in the study of the system kinetic energy, momentum and force equations of an MBS. This matrix is a second order partial derivative of the system kinetic energy with respect to the generalized rates. Obtaining this partial derivative can be challenging even for a small scale mechanism. pdf
Many formalisms exist to establish the equations of motion (EOM) of a multibody system. These include the Euler-Lagrange equations, D'Alembert's work principle, Newton-Euler equations and others. Regardless of the formulation method used, the final EOM for the targeted mechanism for the same generalized coordinates are identical. One variation in the EOM is that they could be formulated to solve for the system accelerations or for the time derivative of system momenta. Still, solving either form of EOM and propagating the motion with the associated kinematics equations should yield the same dynamics response when the modeled MBS is subjected to the same forces and torque (internal and external). Moreover, the EOM must comply with momentum conservation when no external force or torque is applied. pdf
The Hamiltonian is the total energy of the system and it permits a transformation of the Lagrangian equations into a system of 2n first order differential equations in generalized coordinates and generalized momenta, n being the number of dof's in the system. These equations produce identical results as those by acceleration based EOM. pdf
Joints connect bodies in a mechanism and define the relative motion between them. It is the coordinated movements at these joints that creates the trajectory of the robot arm grapple device, the cyclic up and down motion of a piston in a combustion engine, and the precise placement or pointing of a device on a hexapod platform. Most mechanisms are designed with 1 dof rotational joints. Yet, it is not uncommon to see universal joints, ball joints or prismatic joints in mechanisms.
A common treatment of joint motion in a mathematical model is to assign 6 dof's to each body in the system and then define joint constraints to be satisfied by solving a large system of DAE's. This approach effectively creates a dynamics model that has the right number of dof's fitting the simulated mechanism. It has advantages and obvious drawbacks. The presentation given here avoids the use of Lagrange multipliers as required by this approach. We choose to derive only as many EOM's as there are degrees of freedom in the system. The advantage of the latter approach is self explanatory.
Notably, use of Lagrange multipliers for constraints compliance is a very important subject in many applications. This topic will be addressed later. pdf
System Angular Momentum
Multibody system angular momentum has two important properties for trouble-shooting vehicle dynamics simulations. P1: It is a state of motion given the vehicle's generalized coordinates and rates. P2: It is constant in the inertial space when no external torque is exerted on the system. P1 means that this state computed by the simulation program must be identical to an independently computed one based on the kinematical variables output from the program and mass property of the vehicle. Error in this test reflects inconsistency in the kinematics or in the mass property used by the simulation program. P2 compliance insures that the underlying dynamics formulation of the simulation is done properly. pdf
Click here to see selected papers and books published on multibody dynamics formulations.
Concurrent Dynamics International