Class Simulator

[Eustolia Pennycuff]

Thisinnovative design independently drives multiple LEDs at 19 individual wavelengths spaced over the spectrum from 400 to 1100 nm to ensure a spectral match meeting Class A certification. The independent control of each LED allows the user to tune the output to the specific requirements of the test. Application examples include the simulation of blue or red light for skincare and other biomedical testing in the cosmetics industry. This adjustment can be made from the front panel of the controller for the entire spectrum or individual wavelength bands. The user can also adjust the output of the 19 individual LEDs through the software application. These spectral profiles can be saved as custom spectra in the controller and easily recalled with the push of a button.

VeraSol Replicator gives the user a method to generate a solar spectrum based on geographic locations, as well as date and time of day. This spectrum is used to generate a VeraSol LED spectrum, replicating the solar spectrum. Solar simulation has entered a new era. We believe you will continue to find features and benefits of the VeraSol that will improve your testing capabilities.

The VeraSol-2 solar simulator includes the LSS-7120 Controller, the LSH-7520 LED Light Source, the CC720 Connector Cable, and a Vertical Height Adjustment Assembly. The system can be mounted directly to an optical table or breadboard, purchased separately.

The typical lifetime of LEDs of over 10,000 hours removes the need to change expensive and hazardous bulbs. The LEDs come up to a stable operating power within 100 msec. This allows the unit to be shut off between tests without having to wait for the lamp to stabilize or sacrificing the integrity of the test results. This results in an effective lamp usage time several times over a conventional lamp and eliminates the need for shutters on the output. (Note that the 10,000-hour lifetime pertains only to the LEDs and not necessarily to the solar simulator system.)

The use of solid state LEDs and robust optical mounting hardware makes it possible to orient the head in any position to fit your application needs. In order to mount the head 90 degrees, the MA701 Mount Adapter must be purchased separately. To aid in positioning the light source, a variable height adjustment mount is included along with a laser pointer indicator built directly into the LED light source to ensure the test cell is always at the correct placement under the head. The flexibility of the VeraSol Solar Simulator allows the user to tailor the simulator to the test and not the test to the solar simulator.

We are proud to house and manage one of the few commercial photovoltaic and calibration test laboratories in the world. The Photovoltaic Calibration and Test Laboratory is accredited by A2LA to the ISO/IEC 17025 Standard, using state of the art equipment for measurements in accordance with ASTM E948 and E1021. The lab welcomes requests for prototype PV device performance measurements or PV reference cell calibrations. Flexible scheduling and rapid turnaround time ensure minimal downtime to time sensitive devices.

We offer test solutions to measure current-voltage (IV) characteristics of PV cells. Models are available in 1, 3, 5, or 10 amps configurations, determined by the current generated by the device under test. Solutions include the source meter, cabling, and IV Test Station software to capture data quickly and easily. Additional mounting, probing, and temperature control accessories are available. Oriel IV test solutions are designed to work with any Oriel solar simulator.

A calibrated reference cell is an integral part of solar simulator calibration and solar cell I-V characterization. The Oriel model 91150V consists of a readout meter and a 2 x 2 cm calibrated solar cell made of monocrystalline silicon. The cell is also equipped with a thermocouple assembled in accordance with IEC 60904-2. The certification is accredited by NIST to the ISO-17025 standard and is traceable both to the National Renewable Energy Laboratory (NREL) and to the International System of Units (SI). It reads solar simulator irradiance in "SUN" units; where one SUN is equal to 1000 W/m2 at 25 C and AM 1.5G. The meter includes two connectors for analog outputs for the sun irradiance and the temperature.

We also offer reference cells with KG5 windows in place of the quartz window.

For debugging purposes I would like to add hardware button presses to the simulator view in order to be able to better mimic the hardware that we run on (keypresses are working on the hardware already). I've edited the makefile used to build the simulator to include my added code, and I followed the same procedure of creating a KeySampler class that is of the type touchgfx::ButtonController and added the

To main.cpp. Right now for simplicity's sake the sample function of the class always returns "true" with the button press value hard coded to match one that should produce a reaction on the screen. Despite this the simulator GUI does not respond to the "button press". Using the touchgfx_printf() shows that the initialization for the KeySampler is being called, but that the sample function is not. Am I taking the wrong approach? Does this work differently in the simulator HAL than the hardware HAL?

I've figured out how to best mimic button presses for my application. It took a change to 'FrontendApplication.cpp" and its corresponding header. The implementation will vary for different designs but mine ended up looking like this:

What i described in the above snippet is a manual way of doing it. You can also react to button pressed from within the designer which can generate the code for you. Take a look and see what works for you.

Looking into the .hpp files seems to support this error message since I can't find a declaration of 'handleKeyEvent' that is part of the FrontendApplication class. If it's not defined it seems doubtful to me that the function would be called 'under the hood'. I'm sure I'm missing something important so I'll keep looking to see what I can figure out. The goal here is to write code that will be added as part of the template we generate so that all future projects using this template will seamlessly emulate the hardware they are meant to run on. Will the code you posted be portable between projects? I'm a bit of a cpp novice so I may be misunderstanding it, but it seems to me that the model needs to already have button presses defined in the model or there will be errors using this code.

Starting with an initial Context for a given System, Simulator advances time and produces a series of Context values that forms a trajectory satisfying the system's dynamic equations to a specified accuracy. Only the Context is modified by a Simulator; the System is const.

A Drake System is a continuous/discrete/hybrid dynamic system where the continuous part is a DAE, that is, it is expected to consist of a set of differential equations and bilateral algebraic constraints. The set of active constraints may change as a result of particular events, such as contact.

The continuous parts of the trajectory are advanced using a numerical integrator. Different integrators have different properties; you can choose the one that is most appropriate for your application or use the default which is adequate for most systems.

This section is targeted toward users who have created a LeafSystem implementing a discrete or hybrid system. For authors of such systems, it can be useful to understand the simulation details in order to attain the desired state behavior over time. This behavior is dependent on the ordering in which discrete events and continuous updates are processed. (By "discrete events" we mean to include any of Drake's event handlers.) The basic issues and terminology are introduced in the Discrete Systems module; please look there first before proceeding.

The following pseudocode uses the above notation to describe the algorithm "Step()" that the Simulator uses to incrementally advance the system trajectory (time t and state x). The Simulator's AdvanceTo() method will be defined in terms of Step below. In general, the length of a step is not known a priori and is determined by the Step() algorithm. Each step consists of zero or more unrestricted updates, followed by zero or more discrete updates, followed by (possibly zero-length) continuous time and state advancement, followed by zero or more publishes, and then a call to the monitor() function if one has been defined.

We can use the notation and pseudocode to flesh out the AdvanceTo(), AdvancePendingEvents(), and Initialize() functions. Termination and error conditions detected by event handlers or the monitor are reported as status returns from these methods.

The Simulator holds an internal, non-owned reference to the System object so you must ensure that system has a longer lifetime than the Simulator. It also owns a compatible Context internally that takes on each of the trajectory values. You may optionally provide a Context that will be used as the initial condition for the simulation; otherwise the Simulator will obtain a default Context from system.

3a8082e126