ABB PHBSIM10010000 SIM 100 Simulation Module

ABB PHBSIM10010000 SIM 100 Simulation Module

Basic Information

Product Model Number: PHBSIM10010000.

Product name: SIM 100 Simulation Module, which is a simulation module from ABB for simulation-related operations in scenarios such as industrial automation systems.

Functional features

Analogue signal generation

Multiple signal types: It can generate multiple types of analogue signals, such as analogue voltage signals, analogue current signals, and so on. It can output signals with different amplitudes, frequencies and waveforms according to user settings. For example, it can generate a sinusoidal voltage signal with an amplitude varying between 0 - 10V and a frequency of 1kHz, which can be used to simulate the output signal of a sensor to test the response of the control system to the signal.

Flexible adjustment of signal parameters: the user can easily adjust the parameters of the generated signal. This includes the amplitude, frequency, phase, duty cycle (for pulsed signals) and so on. This flexible adjustment allows the module to adapt to a variety of different test and simulation scenarios. For example, when testing a motor speed control system, the amplitude of the voltage signal output from the simulation module can be adjusted to simulate different speed commands and observe the response of the motor.

System Simulation Functions

Device simulation: You can simulate various devices in industrial automation systems. For example, simulate a temperature sensor, according to the set change rule of temperature output simulation of temperature signals; or simulate an actuator, receive control signals and give the corresponding feedback signals, used to test the closed-loop performance of the entire control system. In this way, in the actual equipment is not installed or inconvenient to use, but also on the system for preliminary testing and debugging.

Process simulation: capable of simulating industrial production processes. For example, in chemical production, simulating the temperature, pressure and flow rate changes of a chemical reaction process provides data support for the design and optimisation of the control system. It can reproduce various parameter changes in the production process based on pre-set mathematical models or actual production process data to help engineers better understand and optimise control strategies.

Testing and Verification Functions

Control Strategy Verification: It is used to verify the effectiveness of the control strategy during the development of the control system. Simulation modules can be connected to the controller to simulate various input conditions and observe whether the control signals output from the controller meet expectations. For example, when developing a position control strategy for an automated storage system, different position signals are output through the simulation module to check whether the controller can correctly drive the actuator to move the goods to the specified position.

System Integration Testing: Helps conduct comprehensive system testing during the system integration phase. Signals from multiple devices can be simulated at the same time to check the interaction between different devices and the coordination of the whole system. For example, in a complex industrial automation production line integration process, the simulation module can simulate the signals of various sensors and actuators in the production line to test the automation control process of the whole production line and ensure that the system can operate normally.

Data Recording and Analysis

Data logging: During the simulation process, the generated analogue signal data and related system response data can be recorded. This data can be used for subsequent analysis and comparison. For example, recording the amplitude change of the output signal and the corresponding control system feedback signal during each simulation provides a data basis for evaluating system performance.

Data analysis: Provides simple data analysis tools, such as statistical analysis and waveform analysis. The frequency characteristics and amplitude distribution of the simulated signals can be analysed, or the differences in the system response under different simulation scenarios can be compared. For example, by analysing the current signal during the simulated motor start-up process, the motor start-up characteristics can be understood and the control parameters can be optimised according to the analysis results.

Physical characteristics and interfaces

Various types of interfaces: Usually equipped with a variety of interfaces for easy connection to other devices. These include analogue outputs (e.g. BNC for analogue voltage signals), digital interfaces (e.g. RS-232 or RS-485 for receiving and transmitting digital control signals and status feedback signals). These interfaces comply with industrial standards and guarantee compatibility with other devices and stable connections.

Compact design: The form factor may be compact for easy installation in limited spaces such as control cabinets or test benches. The enclosure is generally made of robust materials such as metal or high-strength engineering plastics with good impact resistance and electromagnetic shielding to protect the internal circuits from external interference.

Indicator lights and displays (possible): Indicator lights may be provided to show the module's operating status, such as power status, signal output status, and so on. Some advanced models may also be equipped with a small display to show information such as currently set analogue parameters or real-time values of the output signals for easy operation and monitoring.