ABB TPPB-02 is a high-performance control processor module launched by ABB in the field of industrial automation. It belongs to the core component series of ABB Advant OCS distributed control system and is mainly suitable for mainstream control systems such as ABB Symphony Plus and IndustrialIT. As the "computing core" of industrial control systems, this module integrates comprehensive functions such as data processing, logic control, system scheduling, and communication management. It can receive real-time on-site data from various sensors and monitoring modules, perform high-speed operation and processing through built-in control algorithms, and output precise control instructions to drive the action of the executing mechanism. At the same time, it realizes data interaction with the upper monitoring system and other control units, and is widely used in large-scale complex industrial control scenarios in industries such as power, metallurgy, chemical, and petrochemical.
Module Overview
ABB TPPB-02 is a high-performance control processor module launched by ABB in the field of industrial automation. It belongs to the core component series of ABB Advant OCS distributed control system and is mainly suitable for mainstream control systems such as ABB Symphony Plus and IndustrialIT. As the "computing core" of industrial control systems, this module integrates comprehensive functions such as data processing, logic control, system scheduling, and communication management. It can receive real-time on-site data from various sensors and monitoring modules, perform high-speed operation and processing through built-in control algorithms, and output precise control instructions to drive the action of the executing mechanism. At the same time, it realizes data interaction with the upper monitoring system and other control units, and is widely used in large-scale complex industrial control scenarios in industries such as power, metallurgy, chemical, and petrochemical.
Its design strictly follows the IEC 61508 functional safety standard, integrates ABB's advanced processor architecture and redundant fault-tolerant technology, and has the characteristics of high computational accuracy, strong real-time performance, high reliability, and flexible scalability. Compared to traditional control processors, TPPB-02 has significantly improved multitasking capabilities, anti-interference performance, and environmental adaptability. It can operate stably for a long time in harsh industrial environments with high temperature, high dust, and strong electromagnetic interference, providing core computing support for automation and precision control of large-scale industrial production processes.
Core technical parameters
Core processor
32-bit RISC multi-core processor with a clock speed of ≥ 800MHz
Multi core parallel processing architecture, supporting real-time scheduling of multiple tasks, with a single core instruction execution speed of ≤ 0.05 μ s/piece
Memory configuration
Program memory 16MB, data memory 32MB, cache 4MB, supports CF card expansion (maximum 64GB)
Large capacity memory meets the storage and real-time data caching needs of complex control programs, and extended CF cards can be used for historical data archiving
control function
Support PID/PI control, fuzzy control, predictive control, sequential control (SFC), logic control (PLC)
Built in rich industrial control algorithm library, capable of achieving complex closed-loop control and timing control of multiple variables and loops
I/O interface capability
Supports up to 8 I/O submodule extensions, with a maximum adaptation of 1024 I/O points (digital+analog)
Connect digital, analog, and special function I/O modules through standard bus interfaces to adapt to various field signals
communication interface
Standard configuration: Ethernet (2, supporting redundancy), Profibus DP (1), RS485 (2)
Supports protocols such as Modbus TCP, Profinet, EtherNet/IP, with a maximum communication speed of 100Mbps, enabling high-speed data exchange
Redundant configuration
Support hot standby redundancy (1:1), switching time ≤ 5ms
Real time synchronization of data between primary and backup processors, seamless switching in case of failure, ensuring uninterrupted operation of the control system
power supply voltage
DC 5V ± 5% or DC 24V ± 10% (dual power input)
Dual power redundant input design enhances power supply reliability and adapts to industrial standard power supply systems
Working temperature range
-25℃~70℃
Wide temperature design, suitable for extreme industrial environments with high and low temperatures, stable operation without the need for additional temperature control equipment
Structural Design and Core Features
3.1 Redundancy and Modular Structure
This module adopts an integrated modular structure of "core computing unit+interface expansion unit+redundant backup unit". The core computing unit integrates core components such as processor, memory, and cache; The interface expansion unit connects various I/O modules and communication modules through standard VME bus or PCI bus, supports hot swappable replacement, and simplifies maintenance process; The redundant backup unit is equipped with a dedicated synchronization chip, which enables real-time data synchronization and rapid fault switching between the primary and backup processors.
The module adopts a standard rack mounted design, with dimensions in accordance with IEC 60297 standard, and can be compatible with other modules in the ABB Symphony Plus series for installation, saving control cabinet space; The shell is made of high-strength aluminum alloy material, which has good heat dissipation performance and electromagnetic shielding effect, with a protection level of IP20; The panel integrates LCD display windows and operation buttons, which can display key parameters such as module operation status, CPU usage, and memory utilization in real time, making it easy for on-site personnel to intuitively grasp the working status of the module.
3.2 Core technological advantages
-High speed multi-core computing capability: Equipped with a 32-bit RISC multi-core processor, adopting a pipeline instruction architecture and parallel processing technology, the overall computing performance reaches 100 million instructions per second, and can simultaneously process 128 control loops and 64 independent tasks. It can quickly respond to the multi variable control requirements in complex industrial scenarios, ensuring the real-time and accuracy of control instructions.
-Full redundancy fault-tolerant design: supports triple redundancy configuration of processor, power supply, and communication. The main and backup processors achieve zero latency synchronization of data through dedicated synchronization links. When the main processor fails, the backup processor can seamlessly take over control tasks within 5ms without control interruption; The communication interface supports dual link backup to avoid data transmission interruption caused by a single communication failure, greatly improving system reliability.
-Powerful control algorithm library: Built in ABB's independently developed advanced control algorithm library, including multivariable predictive control (MPC), adaptive PID control, fuzzy neural network control and other advanced algorithms, and compatible with IEC 61131-3 standard programming language (LD/FBD/ST/IL/SFC). Engineers can quickly complete control program development and optimization through ABB Control Builder programming software, shortening project cycles.
-Comprehensive anti-interference capability: At the hardware level, multiple anti-interference measures such as signal isolation, power filtering, and electromagnetic shielding are adopted, which comply with the IEC 61000-4 series anti-interference standards. The ESD protection level reaches ± 15kV, the EFT protection level reaches ± 4kV, and the RS protection level reaches 10V/m; At the software level, mechanisms such as digital filtering, data verification, and error retransmission are used to effectively filter out on-site interference signals and ensure the accuracy of data transmission and computation.
-Flexible expansion and compatibility capability: Various I/O modules such as analog input/output, digital input/output, high-speed counting, pulse output, etc. can be expanded through standard bus interfaces. It also supports seamless connection with ABB ACS series frequency converters, XVC series monitoring modules, PanelView HMI and other devices; Compatible with third-party industrial control systems, cross system data exchange can be achieved through standard communication protocols, reducing system integration costs.
-Intelligent diagnosis and maintenance function: Equipped with a comprehensive self diagnostic module, it can monitor the operating status of components such as processors, memory, power supplies, and communication interfaces in real time. When hardware failures, program errors, communication abnormalities, and other problems occur, the fault code is immediately displayed on the LCD panel, and the fault information is uploaded to the upper system through the communication interface; Support remote online diagnosis and program upgrade, maintenance can be completed without on-site module disassembly, reducing downtime.
Typical application scenarios
Based on its high-speed computing capability, high reliability, and flexible scalability, the TPPB-02 control processor module is widely used in various large and complex industrial control scenarios, especially playing a core role in fields that require multivariable collaborative control and high reliability assurance, mainly including:
1. Power industry: used for boiler combustion control systems in thermal power plants, coordinated control systems (CCS) for steam turbine generators, and integrated automation systems in substations. In boiler control, the accurate ratio of coal feed rate, air feed rate, induced draft rate, and feedwater flow rate is achieved through multivariable predictive control algorithm to ensure the stability of boiler steam parameters; In the control of generator sets, closed-loop control of speed, voltage, and power is achieved to ensure the safe and stable operation of generator sets and meet the requirements of grid frequency and voltage regulation.
2. Metallurgical industry: Suitable for steel plant converter steelmaking control system, continuous casting machine crystallizer liquid level control system, and hot-rolled strip thickness control system. In continuous casting control, real-time collection of multiple variable signals such as molten steel temperature, crystallizer liquid level, and casting speed is used to accurately control casting speed and cooling water flow rate through adaptive PID algorithm, avoiding problems such as steel leakage and billet defects; In hot rolling control, the coordinated control of multi stand rolling mill speed and pressure is achieved to ensure uniform thickness of the strip steel.
3. Chemical and petrochemical industries: used for process control systems in large chemical reaction vessels and control systems in distillation towers of petroleum refining units. In the control of reaction vessels, precise adjustment of multiple parameters such as temperature, pressure, liquid level, and component concentration is achieved through fuzzy neural network control algorithms to ensure stable chemical reactions; In the control of fractionation tower, the coordinated control of tower top temperature, tower bottom liquid level, and side line extraction amount is achieved to improve the quality and output of petroleum refining products.
4. Nuclear power industry: Adapt to auxiliary systems of nuclear power plants (such as cooling water pumps, ventilation systems) and safety level control circuits. With its high reliability and redundant design, ensure that nuclear power equipment can work stably under normal operation and accident conditions, and guarantee the safe operation of nuclear power plants.
5. Municipal and environmental protection industries: used for dissolved oxygen control systems in aeration tanks of large-scale sewage treatment plants and the entire process control system of water treatment in waterworks. In sewage treatment, the air volume of the aeration fan and the sewage reflux ratio are adjusted through predictive control algorithms based on water quality monitoring data to improve sewage treatment efficiency and effluent quality; In water treatment, automatic collaborative control of multiple processes such as dosing, filtration, and disinfection is achieved to ensure water supply safety.





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