Simulation software

Simulation software is based on the process of modeling a real phenomenon with a set of mathematical formulas. It is, essentially, a program that allows the user to observe an operation through simulation without actually performing that operation. Simulation software is used widely to design equipment so that the final product will be as close to design specs as possible without expensive in process modification. Simulation software with real-time response is often used in gaming, but it also has important industrial applications. When the penalty for improper operation is costly, such as airplane pilots, nuclear power plant operators, or chemical plant operators, a mock up of the actual control panel is connected to a real-time simulation of the physical response, giving valuable training experience without fear of a disastrous outcome.

Advanced computer programs can simulate power system behavior, weather conditions, electronic circuits, chemical reactions, mechatronics, heat pumps, feedback control systems, atomic reactions, even complex biological processes. In theory, any phenomena that can be reduced to mathematical data and equations can be simulated on a computer. Simulation can be difficult because most natural phenomena are subject to an almost infinite number of influences. One of the tricks to developing useful simulations is to determine which are the most important factors that affect the goals of the simulation.

In addition to imitating processes to see how they behave under different conditions, simulations are also used to test new theories. After creating a theory of causal relationships, the theorist can codify the relationships in the form of a computer program. If the program then behaves in the same way as the real process, there is a good chance that the proposed relationships are correct.

General simulation

General simulation packages fall into two categories: discrete event and continuous simulation. Discrete event simulations are used to model statistical events such as customers arriving in queues at a bank. By properly correlating arrival probabilities with observed behavior, a model can determine optimal queue count to keep queue wait times at a specified level. Continuous simulators such as VisSim are used to model a wide variety of physical phenomena like ballistic trajectories, human respiration, electric motor response, radio frequency data communication, steam turbine power generation etc. Simulations are used in initial system design to optimize component selection and controller gains, as well as in Model Based Design systems to generate embedded control code. Real-time operation of continuous simulation is used for operator training and off-line controller tuning.

Electronic Simulation

Electronics simulation software utilizes mathematical models to replicate the behaviour of an actual electronic device or circuit. Essentially, it is a computer program that converts a computer into a fully functioning electronics laboratory. Electronics simulators such as CircuitLogix integrate a schematic editor, SPICE simulator and onscreen waveforms and make “what-if” scenarios easy and instant. By simulating a circuit’s behaviour before actually building it greatly improves efficiency and provides insights into the behavior and stability of electronics circuit designs. Most simulators use a SPICE engine that simulates analog, digital and mixed A/D circuits for exceptional power and accuracy. They also typically contain extensive model and device libraries. While these simulators typically have printed circuit board (PCB) export capabilities, they are not essential for design and testing of circuits, which is the primary application of electronic circuit simulation.

Example of simulation software (CircuitLogix).

While there are strictly analog [1] electronics circuit simulators, such as LTspice, the most popular simulators on the market, such as Multisim and CircuitLogix, include both analog and event-driven digital simulation[2] capabilities, and are known as mixed-mode simulators.[3] This means that any simulation may contain components that are analog, event driven (digital or sampled-data), or a combination of both. An entire mixed signal analysis can be driven from one integrated schematic. All the digital models in mixed-mode simulators provide accurate specification of propagation time and rise/fall time delays.

The event driven algorithm provided by mixed-mode simulators is general purpose and supports non-digital types of data. For example, elements can use real or integer values to simulate DSP functions or sampled data filters. Because the event driven algorithm is faster than the standard SPICE matrix solution simulation time is greatly reduced for circuits that use event driven models in place of analog models.[4]

Mixed-mode simulation is handled on three levels; (a) with primitive digital elements that use timing models and the built-in 12 or 16 state digital logic simulator, (b) with subcircuit models that use the actual transistor topology of the integrated circuit, and finally, (c) with In-line Boolean logic expressions.

Exact representations are used mainly in the analysis of transmission line and signal integrity problems where a close inspection of an IC’s I/O characteristics is needed. Boolean logic expressions are delay-less functions that are used to provide efficient logic signal processing in an analog environment. These two modeling techniques use SPICE to solve a problem while the third method, digital primitives, use mixed mode capability. Each of these methods has its merits and target applications. In fact, many simulations (particularly those which use A/D technology) call for the combination of all three approaches. No one approach alone is sufficient.

PLC Simulation

In order to properly understand the operation of a programmable logic controller (PLC), it is necessary to spend considerable time programming, testing, and debugging PLC programs. PLC systems are inherently expensive, and down-time is often very costly. In addition, if a PLC is programmed incorrectly it can result in lost productivity and dangerous conditions. PLC simulation software such as PLCLogix is a valuable tool in the understanding and learning of PLCs and to keep this knowledge refreshed and up to date.[5] PLCLogix emulates the operation of the Logix 5000 PLC by Rockwell Automation. It provides users with the ability to write, edit and debug programs written using a tag-based format. Many of the most popular PLCs use tags, which are a powerful method of programming PLCs but also more complex. PLCLogix integrates tag-based ladder logic programs with 3D interactive animations to enhance the user’s learning experience.[6] These interactive animations include traffic lights, batch processing, and bottling lines.[7]

PLCLogix Traffic Light Simulation

By using PLC simulation, PLC programmers have the freedom to try all the "what-if" scenarios changing ladder logic instructions and programs, then re-running the simulation to see how changes affect the PLC's operation and performance. This type of testing is often not feasible using hardwired operating PLCs that control processes often worth hundreds of thousands – or millions of dollars.[8]

Sheet metal forming simulation

Sheet metal forming simulation software utilizes mathematical models to replicate the behavior of an actual metal sheet manufacturing process. Essentially, it is a computer program that converts a computer into a fully functioning metal manufacturing prediction unit. Sheet metal forming simulation prevents metal factories from defects in their production lines and reduces testing and expensive mistakes improving efficiency in the metal forming process.

Metal Casting Simulation

Metal casting simulation is currently performed by Finite Element Method simulation software designed as a defect-prediction tool for the foundry engineer, in order to correct and/or improve his/her casting process, even before prototype trials are produced. The idea is to use information to analyze and predict results in a simple and effective manner to simulate different processes such as:

The software would normally have the following specifications:

Network Protocol Simulation

The interaction between the different network entities is defined by various communication protocols. Network simulation software simulates behavior of networks on a protocol level. Network Protocol Simulation software can be used to develop test scenarios, understand the network behavior against certain protocol messages, compliance of new protocol stack implementation, Protocol Stack Testing. These simulators are based on telecommunications protocol architecture specifications developed by international standards body such as the ITU-T, IEEE, and so on. The output of protocol simulation software can be detailed packet traces, events logs etc.

Electrical Power System Simulation

Power system simulation models are a class of computer simulation programs that focus on the operation of electrical power systems. These computer programs are used in a wide range of planning and operational situations including:

   Long-term generation and transmission expansion planning
   Short-term operational simulations
   Market analysis (e.g. price forecasting)
   Conceptual Design & Detailed Engineering
   Equipment Sizing
   Interconnection Studies

These programs typically make use of mathematical optimization techniques such linear programming, quadratic programming, and mixed integer programming.

Key elements of power systems that are modeled include:

   Load flow (power flow study)
   Short circuit
   Protective Device Coordination
   Arc Flash Hazard Assessment
   Transient stability
   Power Quality Assessment
   Optimal power flow

Modern power system simulators such as ETAP also offer the integrated ability to connect the traditional simulation model or the virtual power system model with field devices such as IEDs, Relays, PLCs, etc. or with other data acqusistion systems such as SCADA or DCS in order to perform the following real-time operational functions:

See also

References

  1. ↑ Mengue and Vignat, Entry in the University of Marne, at Vallee
  2. ↑ P. Fishwick, Entry in the University of Florida
  3. ↑ J. Pedro and N. Carvalho, Entry in the Universidade de Aveiro, Portugal
  4. ↑ L. Walken and M. Bruckner, Event-Driven Multimodal Technology
  5. ↑ PLC simulation applications
  6. ↑ Article about PLCLogix
  7. ↑ Article referencing 3DWorlds
  8. ↑ Advantages of PLC simulation
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