CN207720044U

CN207720044U - A kind of magnetic bearing magnetic suspension air blower fault detection system

Info

Publication number: CN207720044U
Application number: CN201721869910.9U
Authority: CN
Inventors: 刘卫法; 吴立华; 董继勇
Original assignee: Nanjing Cigu Technology Co Ltd
Current assignee: Nanjing Cigu Technology Co Ltd
Priority date: 2017-12-28
Filing date: 2017-12-28
Publication date: 2018-08-10
Anticipated expiration: 2027-12-28

Abstract

The utility model discloses a kind of magnetic bearing magnetic suspension air blower fault detection systems, including DSP module, FPGA module, motor inverter, magnetic bearing inverter and fault detection module, DSP module, motor inverter, magnetic bearing inverter and fault detection module correspondence are connected with FPGA module.The fault detect processing of the utility model magnetic suspension air blower carries out in FPGA; since the FPGA programming languages used are both a kind of behavioral description language; it is also a kind of structure description language; the program structure executed parallel can be described; this feature run parallel by using FPGA; system is greatly improved to the swiftness of troubleshooting, is protected in time.In addition, it since fault type being classified in FPGA, rather than runs in dsp, memory headroom is saved for DSP, by this saved partial memory space for realizing other control strategy and algorithms, to greatly improve the utilization rate of entire control system.

Description

A kind of magnetic bearing magnetic suspension air blower fault detection system

Technical field：

The utility model is related to a kind of magnetic bearing magnetic suspension air blower fault detection systems, belong to magnetic levitation control technology neck Domain.

Background technology：

Magnetic suspension bearing is a complicated Mechanical ＆ Electrical Combination System, by mechanical system and the most of group of control system two At, there is the detection of several fault-signals in system, system worked well after the detection of these fault-signals is errorless, now conventional failure Detection is that fault detection signal is sent directly into the pin of DSP module, is handled all kinds of fault-signals by DSP module, such as Shown in Fig. 1, in existing system control algolithm and fault detect completed by DSP, FPGA module only passive generation Drive the PWM of magnetic suspension bearing.The pwm signal of driving motor inverter is directly generated by DSP simultaneously.However, above-mentioned existing In scheme, consider from working efficiency with reliability, the burden that a large amount of fault detect is brought to DSP influences work and control Efficiency, if troubleshooting is not in time, can also bringing on a disaster property consequence, cause IGBT to damage.Therefore, it is deposited for above-mentioned existing scheme Deficiency, it is necessary to reinforce the swiftness of troubleshooting, and reduce the dsp operation time, improve the working efficiency of system.

Utility model content：

The utility model is to provide a kind of magnetic bearing magnetic suspension air blast to solve the above-mentioned problems of the prior art Machine fault detection system.

Technical solution used by the utility model has：A kind of magnetic bearing magnetic suspension air blower fault detection system, it is special Sign is：Including DSP module, FPGA module, motor inverter, magnetic bearing inverter and fault detection module, the DSP moulds Block, motor inverter, magnetic bearing inverter and fault detection module correspondence are connected with FPGA module；

The DSP module, which is concentrated, completes control algolithm, the drive on the one hand needing motor inverter and magnetic bearing inverter Dynamic signal is sent to FPGA module, on the other hand receives to pass through the processed fault detection signal of FPGA module；

The FPGA module concentrates the transmission and fault detect for completing the pwm signal that FPGA module generates, according to failure Processed fault message is fed back to DSP module by type to turn off above-mentioned pwm signal in time；

The motor inverter receives the 6 road PWM drive signals that FPGA module is sent out to control the work of motor inverter；

The magnetic bearing inverter receives the 20 road PWM drive signals that FPGA module is sent out to control magnetic bearing inverter Work；

Fault-signal is sent to FPGA module by the fault detection module.

Further, the processed fault detection signal of the FPGA module is divided into two types, and one kind is critical failure； Two classes are non-key failure.

Further, the critical failure includes emergency stop failure, over current fault, contactor actuation failure and IGBT failures.

Further, the non-key failure includes excess temperature failure, over-voltage fault, under-voltage fault, back-emf failure, import Pressure fault, outlet pressure failure and cabinet inside and outside differential pressure failure.

The utility model has the advantages that：The fault detect of the utility model magnetic suspension air blower is handled in FPGA Middle progress can be described since the FPGA programming languages used are both a kind of behavioral description language and a kind of structure description language The program structure executed parallel, this feature run parallel by using FPGA, is greatly improved system to troubleshooting It is swiftness, it protects in time.In addition, since fault type being classified in FPGA, rather than run in dsp, it is saved for DSP Memory headroom is saved, by this saved partial memory space for realizing other control strategy and algorithms, to greatly The utilization rate of entire control system is improved, while judge whether system needs to stop according to the type of failure, is improved The stability of system.

Description of the drawings：

Fig. 1 is magnetic bearing magnetic suspension air blower fault detect schematic diagram in the prior art.

Fig. 2 is the utility model detecting system schematic diagram.

Fig. 3 is the utility model detecting system work flow diagram.

Specific implementation mode：

The utility model will be further described below with reference to the accompanying drawings.

As shown in Figures 2 and 3, the utility model discloses a kind of magnetic bearing magnetic suspension air blower fault detection system, including DSP module, FPGA module, motor inverter, magnetic bearing inverter and fault detection module, the DSP module, motor inversion Device, magnetic bearing inverter and fault detection module correspondence are connected with FPGA module.

DSP module, which is concentrated, completes control algolithm, on the one hand believes the driving that motor inverter and magnetic bearing inverter need It number is sent to FPGA module, on the other hand receives to pass through the processed fault detection signal of FPGA module；

FPGA module concentrates the transmission and fault detect for completing the pwm signal that FPGA module generates, according to the type of failure To turn off above-mentioned pwm signal in time, and processed fault message is fed back into DSP module；

Motor inverter receives the 6 road PWM drive signals that FPGA module is sent out to control the work of motor inverter；

Magnetic bearing inverter receives the 20 road PWM drive signals that FPGA module is sent out to control the work of magnetic bearing inverter Make；

Fault-signal is sent to FPGA module by fault detection module.

The processed fault detection signal of FPGA module is divided into two types, and one kind is critical failure；Two classes are non-key Failure.

First kind failure such as emergency stop failure, over current fault, contactor are attracted failure and IGBT failures, this kind of failure FPGA moulds The processing mode of block is：The 6 road PWM drive signals for immediately treating motor inverter, by motor speed (10s in the shortest time It is interior) it is reduced to zero, and failure is fed back into DSP module, and DSP module alert, after motor speed zero, magnetic suspension shaft It holds and stops suspending again.

Second class failure such as excess temperature failure, over-voltage fault, under-voltage fault, back-emf failure, inlet pressure failure, outlet pressure Power failure and cabinet inside and outside differential pressure failure, the processing mode of this kind of failure FPGA module are：Immediately treat 6 tunnels of motor inverter Motor speed is reduced a grade, and fault message is fed back to DSP module by PWM drive signal, and DSP module sends out alarm Information, if failure still has after a period of time, then motor speed is zeroed, magnetic suspension bearing stops suspending；If by A period of time failure vanishes, then motor return to former speed；If running a period of time after failure vanishes, failure reproduction then turns For the processing mode of critical failure.

The above is only the preferred embodiment of the utility model, it is noted that for the common skill of the art It for art personnel, can also make several improvements without departing from the principle of this utility model, these improvement also should be regarded as The scope of protection of the utility model.

Claims

1. a kind of magnetic bearing magnetic suspension air blower fault detection system, it is characterised in that：Including DSP module, FPGA module, motor Inverter, magnetic bearing inverter and fault detection module, the DSP module, motor inverter, magnetic bearing inverter and failure Detection module correspondence is connected with FPGA module；

The DSP module, which is concentrated, completes control algolithm, on the one hand believes the driving that motor inverter and magnetic bearing inverter need It number is sent to FPGA module, on the other hand receives to pass through the processed fault detection signal of FPGA module；

The FPGA module concentrates the transmission and fault detect for completing the pwm signal that FPGA module generates, according to the type of failure To turn off above-mentioned pwm signal in time, and processed fault message is fed back into DSP module；

The magnetic bearing inverter receives the 20 road PWM drive signals that FPGA module is sent out to control the work of magnetic bearing inverter Make；

Fault-signal is sent to FPGA module by the fault detection module.

2. magnetic bearing magnetic suspension air blower fault detection system as described in claim 1, it is characterised in that：The FPGA module Processed fault detection signal is divided into two types, and one kind is critical failure；Two classes are non-key failure.

3. magnetic bearing magnetic suspension air blower fault detection system as claimed in claim 2, it is characterised in that：The critical failure It is attracted failure and IGBT failures including emergency stop failure, over current fault, contactor.

4. magnetic bearing magnetic suspension air blower fault detection system as claimed in claim 2, it is characterised in that：The non-key event Barrier includes in excess temperature failure, over-voltage fault, under-voltage fault, back-emf failure, inlet pressure failure, outlet pressure failure and cabinet External differential failure.