320 cylinder diameter dual-fuel engine electric control system based on multi-mode cooperative control

Abstract

The technical scheme of the utility model discloses a 320-cylinder-diameter dual-fuel engine electric control system based on multi-mode cooperative control, which is characterized by comprising a main MCU control module and an FPGA real-time monitoring module which are connected with each other, the FPGA real-time monitoring module is connected with a security module, the security module is connected with a gas leakage monitoring module, and meanwhile, the FPGA real-time monitoring module is connected with the gas leakage monitoring module. A data receiving end of the security module is connected with the sensor, the ESD button and the oil mist detector, and a control signal output end of the security module is connected with the GVU pressure regulating valve, the exhaust valve, the alarm device and the fuel oil stop valve; the FPGA real-time monitoring module is connected into the Ethernet and the hard wiring harness, the pressure sensor, the temperature sensor, the liquid level switch, the on-site remote change-over switch, the combustion analyzer, the waste gas bypass valve, the gas valve, the main lubricating oil pump, the exhaust ventilation valve, the exhaust valve, other auxiliary equipment, the cartridge valve, the gas adjusting valve and buttons of the LOP module are connected into the hard wiring harness, and a display screen of the LOP module is connected into the Ethernet.

Description

Technical Field

[0001] This utility model relates to an electronic control system for a 320-cylinder dual-fuel engine based on multimodal collaborative control. Background Technology

[0002] Currently, marine large-bore engines operate under complex conditions, and traditional electronic control systems struggle to achieve high-precision coordinated control of dual fuels, resulting in problems such as unstable combustion, low thermal efficiency, and excessive emissions. Furthermore, marine large-bore engines exhibit poor dynamic response during fuel switching, easily leading to power interruption or knocking. Existing control systems lack sufficient adaptability to multiple environmental parameters (air pressure, humidity, fuel composition). Summary of the Invention

[0003] The purpose of this invention is to address the complex operating conditions of marine large-bore engines, where traditional electronic control systems struggle to achieve high-precision coordinated control of dual fuels.

[0004] To achieve the above objectives, the present invention discloses an electronic control system for a 320-cylinder dual-fuel engine based on multimodal collaborative control. The system comprises an interconnected main MCU control module and an FPGA real-time monitoring module. The FPGA real-time monitoring module is connected to a safety module, which in turn is connected to a gas leak monitoring module. Simultaneously, the data receiving end of the safety module is connected to sensors, an ESD button, and an oil mist detector. The control signal output end of the safety module is connected to a GVU pressure regulating valve, an exhaust valve, an alarm device, and a fuel cut-off valve. The FPGA real-time monitoring module is connected to Ethernet and a hardwired harness. Pressure sensors, temperature sensors, level switches, local / remote switching switches, combustion analyzers, exhaust bypass valves, gas valves, main lubricating oil pumps, exhaust ventilation valves, exhaust valves, other auxiliary equipment, cartridge valves, gas regulating valves, and buttons on the local control cabinet are connected to the hardwired harness. The display screen of the local control cabinet is connected to Ethernet.

[0005] Preferably, the main MCU control module and the FPGA real-time monitoring module are connected via a CAN bus.

[0006] Preferably, the FPGA real-time monitoring module is connected to the security module via an RS485 bus.

[0007] Preferably, the security module is connected to the gas leak monitoring module via an RS485 bus.

[0008] Compared with existing technical solutions, this utility model has the following advantages:

[0009] 1) Multi-parameter closed-loop control system with sensor fusion: integrates cylinder pressure sensor, knock sensor, and NOx / O2 sensor to build a real-time combustion status feedback network;

[0010] 2) Redundancy and fault tolerance mechanism, dual CAN bus architecture: the main control unit (MCU) and the backup unit (FPGA) operate in parallel and switch seamlessly in case of failure. Attached Figure Description

[0011] Figure 1 This is a diagram of the overall system architecture. In the diagram, LOP represents the local control cabinet, which includes local control buttons and a display screen. Detailed Implementation

[0012] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims.

[0013] like Figure 1 As shown, this utility model provides an electronic control system for a 320-cylinder dual-fuel engine, including a main MCU control module and an FPGA real-time monitoring module. The main MCU control module and the FPGA real-time monitoring module are connected via a CAN bus, and the FPGA real-time monitoring module is connected to a safety module via an RS485 bus. The safety module is connected to a gas leak monitoring module via an RS485 bus. Simultaneously, the safety module receives data from sensors, ESD buttons, and oil mist detectors. The safety module also sends control signals to the GVU pressure regulating valve, exhaust valve, alarm device, and fuel cut-off valve. The FPGA real-time monitoring module is connected to Ethernet and a hard wiring harness. Pressure sensors, temperature sensors, level switches, local / remote switching switches, combustion analyzers, exhaust bypass valves, gas valves, main oil pumps, exhaust ventilation valves, exhaust valves, other auxiliary equipment, cartridge valves, gas regulating valves, and the buttons of the local control cabinet (LOP) are connected to the hard wiring harness. The display screen of the local control cabinet (LOP) is connected to Ethernet. The local control cabinet has physical indicator lights for: power, local display, running, parking, emergency run, vehicle standby complete, gas mode, fuel mode, and audible and visual alarms; it also has operation buttons for: emergency stop, local / remote, start / stop, mute, reset, standby, speed increase / decrease, start / blow-up, emergency start, fuel-gas switch, GVU start, etc.; the LOP cabinet's screen displays engine speed, load, and temperature and pressure signals from the engine.

[0014] System redundant controller switching procedure:

[0015] Normal operation (i.e., master control mode): controlled by the main MCU control module and monitored in real time by the FPGA real-time monitoring module;

[0016] During fault detection: When the sensor fails / communication is abnormal, the FPGA real-time monitoring module takes over control.

[0017] System recovery in progress: Data synchronization is underway after the main MCU control module restarts;

[0018] Shutdown protection status: Safe shutdown under severe fault conditions.

[0019] In this embodiment, the redundant controller hardware architecture is as follows:

[0020] The main MCU control module uses a multi-core MCU (model: Infineon Aurix TC397), and the FPGA real-time monitoring module uses an FPGA (model: Xilinx Zynq UltraScale+).

[0021] In this embodiment, the software process of the above system includes the following steps:

[0022] 1) Initialization phase:

[0023] Load the fuel characteristic parameter library (such as the natural gas composition table).

[0024] 2) Operation phase:

[0025] Cylinder pressure and exhaust data are collected for each cycle to calculate IMEP (Indicating Mean Effective Pressure) and combustion heat release rate.

[0026] Sensor noise is eliminated using a Kalman filter and then input into the control algorithm.

[0027] Output injection pulse width and boost pressure setpoint to the actuator.

[0028] 3) Troubleshooting:

[0029] Trigger a tiered alarm (early warning - power reduction - shutdown).

[0030] In this embodiment of the invention, the process of the system processing the adaptive learning module includes the following steps:

[0031] 1. Real-time data such as cylinder pressure waveform, exhaust temperature, NOx concentration, and fuel injection quantity are input to the data acquisition module via sensors; data preprocessing is performed through filtering and normalization.

[0032] 2. Feature extraction module:

[0033] Signal processing: FFT analysis of cylinder pressure waveform to extract combustion oscillation frequency characteristics.

[0034] Statistical characteristics: Sliding window calculation of mean / variance (e.g., the fluctuation characteristics of NOx concentration).

[0035] Temporal correlation: Using LSTM networks to capture the temporal dependencies of multiple parameters.

[0036] The extracted signals are concatenated into a multidimensional feature vector.

[0037] 3. Model Update Module:

[0038] Model input: Feature vector + target variable (such as optimal EGR rate, ignition advance angle).

[0039] Online training: Incremental learning updates the weights of the neural network.

[0040] Verification mechanism: Compare the predicted control parameters with the actual combustion effect (IMEP deviation).

[0041] 4. Use LSTM neural network and random forest regression to input the model, and then validate the model to evaluate combustion stability indicators (such as speed fluctuation rate).

Claims

1. A multi-modal coordinated control based 320 cc bi-fuel engine electronic control system, characterized in that, The system includes an interconnected main MCU control module and an FPGA real-time monitoring module. The FPGA real-time monitoring module is connected to the security module, which in turn is connected to the gas leak monitoring module. The data receiver of the security module is connected to sensors, ESD buttons, and oil mist detectors. The control signal output of the security module is connected to the GVU pressure regulating valve, exhaust valve, alarm device, and fuel cut-off valve. The FPGA real-time monitoring module is connected to Ethernet and a hardwired harness. Pressure sensors, temperature sensors, level switches, local / remote switching switches, combustion analyzers, exhaust bypass valves, gas valves, main lubricating oil pumps, exhaust ventilation valves, exhaust valves, auxiliary equipment, cartridge valves, gas regulating valves, and buttons on the local control cabinet are connected to the hardwired harness. The display screen of the local control cabinet is connected to Ethernet.

2. A multi-modal coordinated control based 320 cubic capacity dual fuel engine electronic control system as claimed in claim 1 wherein, The main MCU control module and the FPGA real-time monitoring module are connected via a CAN bus.

3. A multi-modal coordinated control based 320 cubic inch bi-fuel engine electronic control system as in claim 1, wherein, The FPGA real-time monitoring module is connected to the security module via an RS485 bus.

4. A multi-modal coordinated control based 320 cubic capacity dual fuel engine electronic control system as claimed in claim 1 wherein, The security module is connected to the gas leak monitoring module via an RS485 bus.

Images