Superconducting electric suspension system damping control analysis system and analysis method
By building a superconducting electric suspension system damping control analysis system, the problem of lack of damping control analysis of the superconducting electric suspension system was solved, the active damping suppression effect simulation of the magnetic levitation train was realized, the debugging cost was reduced and the circuit reliability was improved.
Patent Information
- Application Number
- CN202111546793.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-12-16
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2041-12-16
AI Technical Summary
The existing technology lacks an effective superconducting electric suspension system damping control analysis system, resulting in high debugging costs and poor reliability, and domestic research is relatively blank.
Build a superconducting electric suspension system damping control analysis system, including the damping coil Simulink module, controller module and inverter circuit module. Through simulation analysis of the active damping vibration suppression effect, determine the inverter circuit parameters and control strategy in advance.
It reduces debugging costs, improves circuit reliability, guides the design of active damping control devices, and realizes the simulation of active damping suppression effects of maglev trains.
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Figure CN116266236B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of magnetic suspension, and particularly relates to a superconducting electrodynamic suspension system damping control analysis system and an analysis method. BACKGROUND
[0002] The active damping control principle is to suppress bogie vibration by actively applying current or voltage, and the active damping device in the superconducting electrodynamic suspension system is composed of a vibration damping coil, a damping controller and a vibration sensor. The vibration sensor monitors the vibration speed, displacement or acceleration of the magnetic suspension train, the damping controller outputs corresponding current according to the collected sensor signals, the current is injected into the active damping coil to generate a magnetic field, the magnetic field generated by the active damping coil interacts with the ground coil magnetic field to produce a damping effect, thereby achieving the effect of suppressing the vibration of the vehicle body.
[0003] Active damping control involves electromagnetic-circuit-vibration multi-physical field coupling analysis technology, and the difficulty lies in the fact that the superconducting electrodynamic suspension system is still blank in domestic research, and there are few reference materials. In the research of superconducting electrodynamic suspension technology in Japan and the United States, the damping suppression technology is regarded as a core technology and is strictly confidential, and relevant research results have not been published. The existing research mainly aims at the active damping control device of the electromagnetic suspension, and the technical characteristics are that the background magnetic field is generated by power supply, while the background magnetic field of the active damping control device of the electrodynamic suspension system is generated by electromagnetic induction. Due to the different principles, the active damping control research of the electrodynamic suspension system is more complex, involving electromagnetic, circuit and vibration multi-physical field coupling problems. The existing magnetic suspension system in China is an electromagnetic suspension system, the electrodynamic suspension system develops late and has more technical difficulties, so there is no superconducting electrodynamic suspension active damping control device in China, and there is also a lack of research on the damping suppression effect of the active damping control device. There is no damping control analysis system commonly used for superconducting electrodynamic suspension systems. SUMMARY
[0004] In view of the above technical problems, the application provides a superconducting electrodynamic suspension system damping control analysis system and an analysis method, a virtual simulation system of the damping control process of the superconducting electrodynamic suspension system is built, the active damping vibration suppression effect is analyzed by simulation, the damping control inverter circuit parameters are determined in advance, which provides a basis for actual circuit design, greatly reduces the debugging cost, improves the circuit reliability, and can also debug the control strategy of the damping controller and guide the design of the active damping control device.
[0005] The technical scheme adopted by the application to solve the above technical problems is as follows:
[0006] The application provides a superconducting electrodynamic suspension system damping control analysis system, which comprises a damping coil Simulink module, a controller module and an inverter circuit module.
[0007] The damping coil Simulink module is used for simulating train motion state, and solving train position and vibration state at next time according to input train position, running speed, damping coil current, vertical and guiding initial vibration speed parameters, and outputting vertical vibration speed;
[0008] The controller module is used for simulating damping controller control strategy, setting reference current according to train vertical vibration speed direction, combining actual current in the damping coil Simulink module, and calculating switch tube control signal of the inverter circuit module.
[0009] The inverter circuit module is used for simulating real inverter circuit control damping coil current, controlling switch tube conduction or turn-off according to switch tube control signal, controlling current in the damping coil equivalent load, and feeding back current value to the damping coil Simulink module as damping coil current.
[0010] Further, the controller module comprises an instruction current module, a PI control module and a high-frequency modulation module; the instruction current module outputs reference current according to positive and negative of the vertical vibration speed; the PI control module collects damping coil current in the damping coil Simulink module as actual current, calculates duty ratio of the switch tube in the inverter circuit according to the reference current and the actual current, and adjusts the actual current to approach the reference current; and the high-frequency modulation module modulates the switch tube duty ratio signal output by the PI control module into a PWM wave and outputs to the inverter circuit module.
[0011] Further, the inverter circuit module comprises a single-phase full-bridge inverter circuit and a damping coil equivalent load; the single-phase full-bridge inverter circuit comprises a direct current power supply, an input resistor, an input capacitor and four IGBT full-bridge circuits; the direct current power supply is connected in series with the input resistor and connected in parallel with the input capacitor; and the four IGBT full-bridge circuits are connected in parallel with the input capacitor; the damping coil equivalent load comprises a series-connected equivalent inductor and equivalent resistor; and the single-phase full-bridge inverter circuit outputs alternating current to the damping coil equivalent load.
[0012] Further, the positive and negative polarity of the reference current is opposite to the positive and negative direction of the train vertical vibration speed.
[0013] Further, the superconducting electric suspension system damping control analysis system further comprises a timer, and the timer is used for timing during train running.
[0014] The application further provides a superconducting electric suspension system damping control analysis method, comprising the following steps:
[0015] Input train position, running speed, damping coil current, vertical and guiding initial vibration speed parameters, simulate and calculate train position and vibration state at next time, simulate train motion state;
[0016] Determine reference current positive and negative polarity according to train vertical vibration speed positive and negative direction, take damping coil current as actual current, calculate inverter circuit switch tube control signal through PI control, make actual current approach reference current;
[0017] Simulate switch tube work in inverter circuit, control current in damping coil equivalent load, feed current value back to damping coil Simulink module as damping coil current, simulate train damping control process, analyze train vibration effect and active damping control effect.
[0018] Further, the reference current value is selected according to the expected vibration suppression effect and power supply power.
[0019] Further, the superconducting electric suspension system damping control analysis method further comprises adjusting inverter circuit parameters and PI control parameters if the damping coil current always deviates from the reference current, so that the damping coil current approaches the reference current.
[0020] Further, the superconducting electric suspension system damping control analysis method further comprises fixing the reference current amplitude, adjusting the damping coil winding turns, detecting current changes of the damping coil equivalent load under different winding turns, and determining the damping coil winding turns.
[0021] Compared with the prior art, the present application has the following beneficial effects:
[0022] The superconducting electric suspension system damping control analysis system can realize active damping suppression effect simulation of the maglev train at different positions and different speeds, determine circuit parameters in advance, reduce debugging cost, improve debugging reliability, verify the feasibility of the designed active damping device circuit, guide the design of the active damping controller and the active damping coil, and provide a basis for the design of the active damping system of the maglev train.
[0023] The damping coil Simulink module uses the finite element idea to establish an analytical model of the magnetic field and load change of the active damping coil when moving in the superconducting coil and the "8" shaped coil, can solve the position, speed, acceleration, etc. at next time according to the input position, speed and current at last time, and can perform maglev train dynamics simulation.
[0024] The analysis method verifies that the maximum value control is adopted in the maglev active damping control strategy, the control speed is fast, and the active damping suppression effect is good. The analysis method can also be used to determine the optimal value of the winding turns and the current of the damping coil. BRIEF DESCRIPTION OF DRAWINGS
[0025] The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with the description, serve to explain the principles of the application. It is to be understood that the drawings are for purposes of illustration only and that the inventive concepts are not limited to the arrangements and instrumentalities shown in the drawings.
[0026] Figure 1 Active damping control principle schematic diagram provided for specific embodiments of the present application;
[0027] Figure 2 Active damping control flow schematic diagram provided for specific embodiments of the present application;
[0028] Figure 3 Damping control analysis system principle block diagram provided for specific embodiments of the present application;
[0029] Figure 4 Damping coil Simulink module principle block diagram provided for specific embodiments of the present application;
[0030] Figure 5 Controller module principle block diagram provided for specific embodiments of the present application;
[0031] Figure 6 Controller module control flow diagram provided for specific embodiments of the present application;
[0032] Figure 7 Inverter circuit schematic diagram provided for specific embodiments of the present application;
[0033] Figure 8 Current waveform diagram provided for specific embodiments of the present application under the condition of different winding turns with the same reference current;
[0034] Figure 9 Current waveform diagram provided for specific embodiments of the present application under the condition of different winding turns with the same ampere-turns. DETAILED DESCRIPTION
[0035] The specific embodiments of the present application are described in detail below. In the following description, for the purpose of explanation and not limitation, specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced in other embodiments that depart from these specific details.
[0036] It should be noted that, in order to avoid unnecessary details from obscuring the present application, only the device structure and / or processing steps closely related to the solution of the present application are shown in the drawings, and other details not closely related to the present application are omitted.
[0037] The superconducting electric suspension system damping control analysis system provided by the application comprises a damping coil Simulink module, a controller module and an inverter circuit module,
[0038] The damping coil Simulink module is used for simulating the train motion state, solving the train position and vibration state at the next moment according to the input train position, running speed, damping coil current, vertical and guiding initial vibration speed parameters, and outputting the vertical vibration speed.
[0039] The controller module is used for simulating the damping controller control strategy, setting the reference current according to the direction of the train vertical vibration speed, combining the actual current in the damping coil in the damping coil Simulink module, and calculating the switch tube control signal of the inverter circuit module.
[0040] The inverter circuit module is used for simulating the inverter circuit control damping coil current, controlling the switch tube to be turned on or turned off according to the switch tube control signal, controlling the current in the equivalent load of the damping coil, and feeding back the current value to the damping coil Simulink module as the damping coil current.
[0041] The superconducting electric suspension system damping control analysis system adopts the simulation method to obtain the vibration suppression effect of the active damping control device, can determine the damping control inverter circuit parameters in advance, provides the basis for the actual circuit design, greatly reduces the debugging cost, improves the circuit reliability, can also debug the control strategy of the damping controller, and guides the design of the active damping control device.
[0042] The superconducting electric suspension system damping control analysis method provided by the application comprises the following steps:
[0043] The train position, running speed, damping coil current, vertical and guiding initial vibration speed parameters are input, the train position and vibration state at the next moment are calculated, and the train motion state is simulated.
[0044] The positive and negative polarities of the reference current are determined according to the positive and negative directions of the train vertical vibration speed, the damping coil current is taken as the actual current, the inverter circuit switch tube control signal is calculated through PI control, and the actual current is made to approach the reference current.
[0045] The switch tube in the inverter circuit is simulated to control the current in the equivalent load of the damping coil, the current value is fed back to the damping coil Simulink module as the damping coil current, the train damping control process is simulated, and the train vibration effect and the active damping control effect are analyzed.
[0046] For ease of understanding, the above technical solution is described in detail below with reference to a specific embodiment. Figure 1 Taking the active damping control device shown as an example, it includes an inverter and a damping coil.
[0047] The essence of active damping control is to control the vertical vibration of the train. The principle is to pass reverse or forward current to the damping coil according to the positive or negative vertical velocity, thereby suppressing the vibration of the train. Figure 2 As shown in the figure, the specific process of active damping control is explained by taking the vibration sensor as an acceleration sensor as an example. The acceleration sensor is installed on the bogie, and the acceleration sensor signal enters the damping controller. The vertical vibration acceleration signal is integrated to obtain the vertical vibration velocity signal. After filtering, if the vibration velocity is negative, the positive maximum current command is passed, and if the vibration velocity is positive, the negative maximum current command is passed. The current command outputs the corresponding PWM wave through the damping controller to control the on and off of the IGBT switch tube, thereby outputting the target current. The magnetic field generated by the damping coil current interacts with the ground coil magnetic field to generate a damping force, thereby suppressing the vibration of the bogie.
[0048] In different implementations, the vibration sensor can be a displacement sensor, an acceleration sensor, or a velocity sensor. The principle of a velocity sensor is to integrate the acceleration sensor. Displacement sensors are classified into multiple types, including magnetoresistive, capacitive, inductive, resistive, and laser types. Acceleration sensors are classified into piezoelectric, piezoresistive, and capacitive types. Due to the wide variety of sensor types, the sensor suitable for the suspension system can be selected based on the system characteristics. Different sensors use different measurement data processing methods. Displacement sensor signals are differentiated to obtain velocity signals, acceleration sensor signals are integrated to obtain velocity signals, and velocity sensors obtain velocity signals directly.
[0049] Since the sensors in the electric suspension system work in a strong magnetic field and strong vibration environment, the displacement sensor should be a laser displacement sensor with good stability, and the acceleration sensor should be a capacitive type with good stability.
[0050] Aiming at the above active damping control device, a superconducting electric suspension system damping control analysis system is designed using Simulink simulation system. Figure 3 Shown, including
[0051] (1) Damping coil Simulink module
[0052] The finite element method is used to establish an analytical model of the magnetic field and load changes when the active damping coil moves in the superconducting coil and the figure-8 coil, and the analytical model is converted into a damping coil Simulink module, such as Figure 4The damping coil Simulink module can solve the position, velocity, acceleration, damping coil current, etc. of the next moment according to the input position, velocity, current, vertical and guiding initial vibration velocity parameters of the previous moment.
[0053] The initial position, running speed, current, and vertical and guiding initial vibration velocity parameters of the magnetic levitation train are input into the damping coil Simulink module (at the initial moment, the current, vertical and guiding initial vibration velocity parameters are 0), and the simulation train running process is started after the input parameters. The damping coil Simulink module can iteratively calculate the vibration state of the train at the next moment according to the input parameters at the initial moment, so that the vibration effect of the train can be known, and the active damping control effect can also be obtained in this way. The damping coil Simulink module will feedback the vibration state of the train at the next moment and the damping coil current to the controller module. The vibration state of the train is used as the input for iterative calculation at the subsequent moment, so as to obtain the vibration suppression effect of the train. The damping coil current signal is compared with the reference current value in the PI control, so as to control the on-off time of the switch tube of the inverter circuit, and control the damping coil current to be consistent with the reference current.
[0054] The method for iteratively calculating the vibration state of the train at the next moment is as follows:
[0055] The superconducting magnet is passed through direct current, and the forward movement will generate current in the ground zero flux coil to generate levitation force. The levitation force calculation formula is as shown in formula (1).
[0056] f y =I T T G y (x,y,z)I s (1)
[0057] In the formula, f y is the levitation force, I T is the zero flux coil current, G y (x,y,z) is the mutual inductance between the zero flux coil and the superconducting coil, and I s is the current of the superconducting coil.
[0058] The mass of the magnetic levitation train is known, and the difference between the levitation force and the gravity can be calculated, and the vertical vibration acceleration of the train at this time can be calculated:
[0059]
[0060] The vertical vibration speed of the train at this time is calculated as follows:
[0061] v x (t)=v x (t-1)+a(t)×Δt (3)
[0062] The vertical vibration position of the train is calculated as follows:
[0063] x(t) = x(t-1) + v(t) x At (4)
[0064] According to the formula (1) - formula (4), in combination with the initial position of the train, speed, vertical and initial vibration speed, the vibration position, vibration speed and vibration acceleration signal of the train at any time can be obtained.
[0065] (2) Controller module
[0066] The controller module includes a command current module, a PI control module, and a high-frequency modulation module, as shown in Figure 5
[0067] The command current module outputs a reference current according to the positive and negative of the vertical vibration speed. The reference current value can be selected according to the vibration suppression effect to be achieved and the power available, and the positive and negative polarity of the reference current value is opposite to that of the vertical vibration speed.
[0068] The PI control module collects the current of the damping coil in the damping coil Simulink module as the actual current, and calculates the duty cycle of the switch tube in the inverter circuit according to the reference current and the actual current to adjust the actual current to approach the reference current. The PI control receives the reference current input by the command current module, takes the current load of the damping coil in the damping coil Simulink module as the current actual current, compares the current actual current signal with the reference current signal to obtain a difference, and the PI control makes the difference zero, so that the current actual current signal approaches the reference current signal. The PI control can make the current of the damping coil closer to the reference current and more accurately output to the damping coil.
[0069] The PI control algorithm simulates the control algorithm in the active damping control device. In this embodiment, the PI control algorithm is as follows:
[0070] E = -R s i * -k p (i * -i ref )-k i ∫(i * -i ref )dt (5)
[0071] Where i* is the measured current value, i ref is the reference current value, R s , k p and k i are adjustable coefficients.
[0072] The high-frequency modulation module modulates the switch duty signal output by the PI control module into a PWM wave and outputs the PWM wave to the inverter circuit module.
[0073] As shown in Figure 6 According to the control strategy of the maximum current, the instruction current module translates the vertical vibration speed output by the damping coil Simulink module into a current instruction, also referred to as a reference current i ref ; the reference current i ref After the reference current i ref and the actual current i* are subjected to PI control, the control signal of the IGBT gate is obtained by using high-frequency carrier modulation, thereby controlling the turn-on and turn-off of the IGBT.
[0074] (3) Inverter circuit module
[0075] The actual inverter circuit includes IGBT switch tubes, capacitors, resistors and other parameters. The resistance and capacitance parameters can be set by using the Simulink simulation software to simulate the output of the PWM wave effect. The PWM wave controls the turn-on and turn-off of the switch tube in the inverter circuit, thereby controlling the current of the damping coil. The topologies of the conventional inverter circuit include full-bridge circuit, half-bridge circuit, single-ended and push-pull type, etc. The advantage of the full-bridge circuit is that the primary winding is reduced by half and the withstand voltage of the switch tube is reduced by half.
[0076] In this embodiment, the inverter circuit module includes a single-phase full-bridge inverter circuit and a damping coil equivalent load, as shown in Figure 7 The single-phase full-bridge inverter circuit includes a DC power supply, an input resistor, an input capacitor, and four IGBT full-bridge circuits. The DC power supply is connected in series with the input resistor and is connected in parallel with the input capacitor. The four IGBT full-bridge circuits are connected in parallel with the input capacitor. The damping coil equivalent load includes a series equivalent inductor and an equivalent resistor. The single-phase full-bridge inverter circuit outputs alternating current to the damping coil equivalent load. The inverter circuit module is used to control the current output to the damping coil. According to the current control strategy, the inverter circuit converts the vehicle-mounted DC power into AC power with varying frequency and outputs the AC power to the damping coil. The frequency and amplitude of the AC power change with the reference current i ref .
[0077] (4) Timer
[0078] The function of the timer is to count the time during the train operation. The position and vibration speed information at the time T = T + t are calculated once every t time interval.
[0079] The analysis process of the superconducting electric suspension system damping control analysis system includes the following steps:
[0080] (1) The initial position, running speed, and vertical and guiding initial vibration speed parameters of the maglev train are input into the damping coil Simulink module, Figure 4The middle XX is a vertical position, the YY is a longitudinal (direction of travel) position, the ZZ is a guide position, the Vx is a vertical vibration speed, the Vy is a running speed, and the Vz is a guide vibration speed. The six parameters are measured by sensors in the actual system.
[0081] (2) After inputting the parameters, the simulation of the train running process is started, and the damping coil Simulink module can iteratively calculate the vibration state of the train at the next moment according to the input parameters at the initial moment, which includes the train position and vibration speed at the next moment. The vibration position and vibration speed of the train at all times during the entire running process can be obtained by iteration in Simulink, so that the vibration effect of the train can be known, and the active damping control effect can also be obtained in this way.
[0082] (3) The damping coil Simulink module feeds back the current signal of the train vibration state and the damping coil at the current moment, and the active damping controller obtains the vertical vibration speed signal of the train and the current signal of the damping coil from the damping coil Simulink module. The vertical vibration speed signal can be obtained by differentiating displacement sensors, integrating acceleration sensors, or directly through speed sensors in practice.
[0083] (4) The vertical speed signal is given to the command current module to determine the positive and negative polarity of the reference current. The reference current value can be selected according to the vibration suppression effect to be achieved and the available power supply power. In this embodiment, ±15A is taken as an example. When the vertical speed is positive, the command current module gives a-15A current command. When the vertical speed is negative, the command current module gives a +15A current command. The command current is given to the PI control as a reference current.
[0084] (5) The actual current value of the damping coil fed back by the Simulink module is compared with the reference current, and the actual current at this time is adjusted to approach the reference current value through PI control. The PI control is to calculate the duty cycle of the four switching tubes in the inverter circuit through the PI parameters, output PWM waves through high-frequency modulation, so as to control the on-off of the switching tubes, and further control the current of the damping coil.
[0085] The application of the damping control analysis system and the analysis method designed by the application:
[0086] (1) Before the actual circuit debugging, the parameters such as resistance and capacitance in the inverter circuit are determined through simulation, which greatly reduces the debugging time and cost. For the strong electric system with large voltage and large current, the safety during debugging can be ensured after the parameters are determined by the simulation platform. For example, the current in the equivalent load of the damping coil is measured. If the current does not reach the reference current, the input resistance Rd in the inverter circuit is adjusted, the voltage division is adjusted, and the input capacitance C is adaptively adjusted. In addition, the PI control parameters can be adjusted. If the current deviates from the reference current in a small range, the PI control parameters k p 、k i are adjusted to control the current in the equivalent load of the damping coil to approach the reference current.
[0087] (2) Determine the number of turns of the damping coil winding: fix the reference current amplitude, adjust the number of turns of the damping coil winding, detect the current transformation of the equivalent load of the damping coil under different winding turns, and select the number of turns of the damping coil winding that meets the requirements according to the current change.
[0088] Under the condition that the reference current i ref amplitude is consistent, the same input corresponds to different winding turns, as shown in Figure 8 , the current value can be obtained in the current measurement module of the equivalent load of the damping coil. It can be seen that when the current size is constant, the more the number of turns of the damping coil, the worse the following of the current in the coil to the reference current; when the reference current changes rapidly, the winding current may not reach the set value.
[0089] (3) Adjust the reference current and the number of turns of the damping coil winding: fix the ampere-turns, adjust the reference current and the number of turns of the damping coil winding, detect the vibration suppression effect, and determine the reference current and the number of turns of the damping coil winding according to the requirements.
[0090] Under the condition that the ampere-turns are consistent, according to the positive and negative current control strategy, the more the number of turns of the damping coil, the smaller the reference current amplitude. Taking 20 turns 216A, 40 turns 108A, and 60 turns 72A as examples, the currents corresponding to different winding turns are shown in Figure 9 , the current tracking effects in the three cases are not much different, and the effect is slightly better when the number of turns is small.
[0091] Therefore, when selecting the number of turns of the damping coil, the tracking effect of the current, the total power capacity of the circuit, and the suppression effect of the active damping on the disturbance need to be comprehensively judged.
[0092] In summary, the damping control analysis system designed by the application can debug the inverter circuit parameters to obtain the target current value and current output effect, and can also adjust the damping coil parameters to obtain the damping suppression effect, and according to the parameter adjustment and analysis, the optimal values of the actual circuit parameters, the number of turns of the damping coil and the current can be efficiently determined, so that the damping control analysis system can provide a basis for the design of the damping coil and the damping controller, and greatly reduce the debugging time and cost.
[0093] Features as described and / or illustrated above in relation to one embodiment can be used in the same or similar way and / or in combination with other embodiments and / or in place of other features in other embodiments.
[0094] It should be emphasized that the term "comprises / comprising" when used in this text, refers to the presence of the stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps, components or groups thereof.
[0095] Many of the features and advantages of the embodiments can be apparent from the detailed description, and it is intended to cover all such features and advantages of the embodiments within the true spirit and scope of the embodiments. Further, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the embodiments to the exact construction and operation described and illustrated, and accordingly, all suitable modifications and equivalents can be resorted to, falling within the scope of the embodiments.
[0096] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.
[0097] The part of the present application not described in detail is the technology known to those skilled in the art.
Claims
1. A superconducting electric suspension system damping control analysis system, characterized in that: Including damping coil Simulink module, controller module, inverter circuit module; The damping coil Simulink module is used to simulate the train motion state. Based on the input train position, running speed, damping coil current, vertical and guide initial vibration velocity parameters, it solves the train position and vibration state at the next moment and outputs the vertical vibration velocity. The controller module is used to simulate the control strategy of the damping controller, set the reference current according to the vertical vibration speed direction of the train, and calculate the control signal of the switch tube of the inverter circuit module based on the actual current in the damping coil in the damping coil Simulink module; The inverter circuit module is used to simulate a real inverter circuit to control the damping coil current, control the switch tube to be turned on or off according to the switch tube control signal, control the current in the damping coil equivalent load, and feed back the current value to the damping coil Simulink module as the damping coil current; The inverter circuit module includes a single-phase full-bridge inverter circuit and a damping coil equivalent load. The single-phase full-bridge inverter circuit includes a DC power supply, an input resistor, an input capacitor, and four IGBT full-bridge circuits. The DC power supply is connected in series with the input resistor and then in parallel with the input capacitor. The four IGBT full-bridge circuits are connected in parallel with the input capacitor. The damping coil equivalent load includes an equivalent inductor and an equivalent resistor connected in series. The single-phase full-bridge inverter circuit outputs AC to the damping coil equivalent load.
2. The superconducting electric suspension system damping control and analysis system according to claim 1 is characterized in that: The controller module includes a command current module, a PI control module, and a high-frequency modulation module; the command current module outputs a reference current according to the positive or negative vertical vibration speed; The PI control module collects the damping coil current in the damping coil Simulink module as the actual current, calculates the duty cycle of the switch tube in the inverter circuit according to the reference current and the actual current, and adjusts the actual current to approach the reference current; The high-frequency modulation module modulates the switch tube duty cycle signal output by the PI control module into a PWM wave and outputs it to the inverter circuit module.
3. The superconducting electric suspension system damping control and analysis system according to claim 1 is characterized in that: The positive and negative polarities of the reference current are opposite to the positive and negative directions of the vertical vibration velocity of the train.
4. The superconducting electric suspension system damping control and analysis system according to claim 1 is characterized in that: It also includes a timer, which is used for timing during the operation of the train.
5. A superconducting electric suspension system damping control analysis method, characterized in that: Using the system according to any one of claims 1 to 4, the method comprises the following steps: Input the train position, running speed, damping coil current, vertical and guide initial vibration velocity parameters, simulate and calculate the train position and vibration state at the next moment, and simulate the train motion state; The positive and negative polarity of the reference current is determined according to the positive and negative directions of the vertical vibration speed of the train. The damping coil current is used as the actual current. Through PI control, the control signal of the inverter circuit switch is calculated to make the actual current approach the reference current. Simulate the operation of the switching tube in the inverter circuit, control the current in the equivalent load of the damping coil, and feed the current value back to the damping coil Simulink module as the damping coil current. Simulate the train damping control process and analyze the train vibration effect and active damping control effect.
6. The superconducting electric suspension system damping control analysis method according to claim 5, characterized in that: The reference current value is selected according to the expected vibration suppression effect and power supply power.
7. The superconducting electric suspension system damping control analysis method according to claim 5, characterized in that: The method also includes adjusting the inverter circuit parameters and PI control parameters to make the damping coil current approach the reference current if the damping coil current always deviates from the reference current.
8. The superconducting electric suspension system damping control analysis method according to claim 5, characterized in that: The method also includes fixing the reference current amplitude, adjusting the number of turns of the damping coil winding, detecting the current change of the damping coil equivalent load under different numbers of turns of the winding, and determining the number of turns of the damping coil winding.
Citation Information
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