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119 lines
6.0 KiB
Plaintext
119 lines
6.0 KiB
Plaintext
/**
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* @anchor IntegratorPage
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* @page LEVEL2 Integrators
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*
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* Integration is a numerical process of accumulating change. It is commonly used to propagate simulation states from one
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* time step to the next.
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*
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* Trick's integration scheme helps a simulation developer to perform integration, using one of many well-known integration
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* algorithms or to define his own.
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*
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* To do this, Trick defines two job classes specifically for integration:
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* 1) Derivative Class Job
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* 2) Integration Class Job
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*
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* At initialization time, the job scheduler runs all derivative jobs once. During run-time, Derivative and Integration class
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* jobs are then alternately executed one or more times at the top of the rate group frame. The integration algorithm chosen
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* by the user determines the number of times that they are executed per frame. For example, for Runge-Kutta 2 they will
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* alternately be called 2 times.
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*
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* @section LEVEL3 Derivative Class Job
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*
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* The user implements derivative class job functions which are expected to calculate derivatives (to be integrated). Derivative
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* job functions may pass any number of arguments. They may also be written to return any value. Their return value is irrelevant
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* to the scheduler. The unique feature of a derivative class job is how it's scheduled. It is always called right before
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* integration class job(s) in the same sim_object.
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*
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*@section LEVEL3 Integrator Class Job
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*
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* The user also implements integration class jobs functions which are expected to integrate the derivatives calculated by the
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* derivative class jobs in the same sim object. Like derivative job functions, integration job functions may take any number
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* of arguments. But, the return value of an integration function is significant.
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*
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* A non-zero return value tells the job scheduler ( see exec_scheduled_modules(), in S_source.c) that integration is not yet
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* complete, and that the derivative and integration class job functions should again be called for the current (t) frame.
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* A zero return value means that integration is complete for the current frame.
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*
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* @section LEVEL3 Integrator integrate() Function Interface
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*
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* To aid in the implementation of an integration job function, Trick provides the integrate() function:
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*
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int integrate() ;
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*
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* The Integrator object stores the input (derivative) values to be integrated, intermediate values, and the resultant
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* (integrated) values.
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*
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* To use <I>integrate()</I>, the user is expected to:
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-# Declare an IntegLoop in the S_define with the frequency the integration/derivative jobs.
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-# Call getIntegrator(< Integration Algorithm >, <# of variables to integrate>) in the input file for each IntegLoop.
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-# In the integration class job:<BR>
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i. Populate the Integrator object with the state-values:
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load_state( <state variable>, ..., NULL);
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ii. and state-derivative values:
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load_deriv( <state deriv variable>, ..., NULL);
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iii. call the Trick <I>integrate()</I> function:
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<int> = integrate();
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iv. unload the results from:
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unload_state(<state variable, ..., NULL);
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v. and return the integer value returned from the <I>integrate()</I> function.
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*
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* Each time <I>integrate()</I> is called it will make progress in its estimate of the new state.
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*
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* That progress is recorded in the element Integrator->state_ws. After calling <I>integrate()</I>, a non-zero value
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* in Integrator->intermediate_step, indicates that the integration is not yet complete; that <I>integrate()</I> needs
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* to be called again. A zero value in Integartor->intermediate_step means that integration is done. The integration algorithms
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* available are listed in the table below.
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*
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<table>
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<tr><th>Integration Algorithm</th></tr>
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<tr><td>Euler</td></tr>
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<tr><td>Euler_Cromer</td></tr>
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<tr><td>Nystrom_Lear_2</td></tr>
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<tr><td>Runge_Kutta_2</td></tr>
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<tr><td>Modified_Midpoint_4</td></tr>
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<tr><td>Runge_Kutta_4</td></tr>
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<tr><td>Runge_Kutta_Gill_4</td></tr>
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<tr><td>Runge_Kutta_Fehlberg_45</td></tr>
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<tr><td>Runge_Kutta_Fehlberg_78</td></tr>
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<tr><td>ABM_Method</td></tr>
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</table>
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*
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*@section LEVEL3 Derivative and Integration Class Job Scheduling
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*
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* Derivative and Integration class jobs are scheduled/called by the IntegLoop Scheduler to which they are assigned.
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*
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* A new IntegLoopScheduler class is created for each IntegLoop defined in the S_define. The sim_objects that are
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* assigned to the IntegLoopScheduler are added to the scheduler with a call to <I>add_sim_object()</I>. Each
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* IntegLoopScheduler is registered with the Executive when the default_data class jobs are run. Also, <I>rebuild_jobs()</I>
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* is called to add jobs to the proper queue for each sim_object assigned to the IntegLoopScheduler during default_data
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* class jobs. When the initialization class jobs are run, all of the derivative class jobs will be run at time equals 0.
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* Based on the user-defined fequency, the Executive calls the appropriate IntegLoopScheduler <I>integrate()</I> function.
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* @section LEVEL4 IntegLoopScheduler Integrate() Function Design
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*
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* The following happens for each IntegLoopScheduler <I>integrate()</I> function call:
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* - All pre-integration class jobs are called.
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* - If the variable first_step_deriv is TRUE, then all derivative class jobs are called.
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* - Call all integration class jobs, each integration class job will be called repeatedly until the specific integration
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* algorithm returns a zero value.
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* - Call all derivative class jobs.
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* - Call the dynamic_event class jobs.
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*
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* @section LEVEL3 Integration Algorithms
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*
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* The specific Integrators that Trick supports are listed in the above table. Each of these integration algorithms
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* is well known in the world of numerical methods and therefore will not be described. The implementation of the
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* algorithms are included in Trick release packages, but are not maintained by Trick. The ER7 division maintains
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* an er7_utils configuration that contains the integrator code that is used by Trick.
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* @see Trick::Integrator
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*
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*/
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