Nuclear fusion reactor with ultra-high voltage microcurrent and pulsed voltage
Patent Information
- Application Number
- KR1020250048442
- Authority / Receiving Office
- KR · KR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2026-10-21
Smart Images

Figure PAT00002_ABST
Abstract
Description
Technology Field
[0001] The present invention relates to a fusion reactor utilizing a combination of ultra-high potential microcurrents and pulsed voltages, and more specifically, to a fusion reactor utilizing ultra-high potential microcurrents and pulsed voltages that can maintain plasma with low energy consumption and sustain a stable fusion reaction, and can directly recover electrical energy by generating ultra-high potential electric fields inside and outside the chamber to confine the plasma and induce fusion. Background Technology
[0003] A plasma-based nuclear fusion reactor refers to a system that generates electricity by utilizing the energy produced during the nuclear fusion reaction process. Plasma, generally referred to as the fourth state of matter, refers to a state in which matter is heated by a strong electric field or heat source, transcending its gaseous state and separating into particles such as electrons, neutral particles, and ions. Since this plasma carries an electric charge due to the escape of electrons, it can be confined by an electromagnetic field or accelerated in a specific direction. Ion engines, used in spacecraft, are an example of a method that utilizes this to accelerate matter in a specific direction, and confining plasma with appropriate density and heat within an electromagnetic field for an arbitrary period of time can be considered the core of nuclear fusion power generation.
[0004] Current nuclear fusion power generation technology is mainly being researched based on Tokamak, Stellarator, and Inertial Confinement methods.
[0005] The tokamak method, which has been the most researched and developed to date, is a fusion device that confines ultra-high temperature plasma using a magnetic field to create an environment where nuclear fusion reactions occur like the sun. As illustrated in Fig. 1, it generates a magnetic field using D-shaped superconducting magnets to confine the plasma, controlling it to maintain a stable state within a donut-shaped vacuum vessel.
[0006] The tokamak, stellarator, and inertial sealing methods described above have problems such as current efficiency issues, massive energy consumption, and the inability to maintain reaction continuity.
[0007] Looking at the details, from the perspective of current efficiency, the aforementioned Tokamak-based fusion reactor requires a strong magnetic field to maintain the internal plasma current, which results in high power consumption. Furthermore, generating and controlling the bootstrap current is difficult, and maintaining fusion without an external power supply is challenging.
[0008] From the perspective of increasing energy consumption, massive amounts of electricity must be consumed to maintain plasma at ultra-high temperatures (over 100 million°C). Conventional nuclear fusion methods use magnetic coils and superconductors to confine the plasma, but this process results in significant energy loss.
[0009] From the perspective of reaction sustainability, if the plasma becomes unstable, the nuclear fusion reaction ceases, and continuous external adjustment is required to prevent this. Instabilities such as Edge Localized Modes (ELMs) reduce reaction efficiency.
[0010] As a prior art, a nuclear fusion reactor applying the tokamak method is disclosed in Patent Publication No. 10-2020-0019953. The aforementioned prior art describes a technology capable of efficiently extracting nuclear fusion energy through a nuclear fusion chain reaction utilizing channeling phenomena caused by the crystal structure of metals and the phenomenon of increased fusion probability. The aforementioned prior art also confines plasma using the tokamak method. Prior art literature
[0012] Republic of Korea Patent Publication No. 10-2020-0019953 (Published on Feb. 25, 2020) The problem to be solved
[0013] Accordingly, the present invention is proposed to solve the aforementioned problems and aims to provide a nuclear fusion reactor utilizing ultra-high potential microcurrents and pulse voltages, which is capable of increasing current efficiency by forming an electric field with an optimized characteristic pattern combining ultra-high potential microcurrents and pulse voltages, rather than the tokamak method of confining plasma with a magnetic field, and by placing said electric field inside and outside the chamber while optimizing the movement of electrons and ions within the plasma within the electric field inside the chamber.
[0014] In addition, the present invention has another objective of providing a fusion reactor using ultra-high potential microcurrent and pulse voltage that can sustain a fusion reaction with low power consumption by introducing an AI-based data analysis system to learn variable measurement values such as temperature, density, and plasma confinement time, which are requirements for generating plasma reacting in the chamber, as parameters, and providing real-time feedback through reinforcement learning.
[0015] In addition, another objective of the present invention is to provide a nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage that does not require a magnetic field to confine the plasma and can be miniaturized compared to existing tokamak or stellarator methods. means of solving the problem
[0017] To achieve the above objective, the present invention comprises: a chamber in which a vacuum state is maintained; first and second electrodes installed on the upper and lower sides inside the chamber; a high frequency (RF) generator for generating plasma between the first and second electrodes by applying RF power to the first and second electrodes; a fuel injector for inducing a nuclear fusion reaction of deuterium and tritium into the space between the first and second electrodes to raise the temperature of the plasma; a high potential microcurrent generator for forming an electric field by applying a high potential microcurrent to the first and second electrodes and optimizing the current flow within the plasma; and a pulse voltage generator for optimizing the distribution of electrons and ions within the plasma by applying a pulse voltage to the first and second electrodes and suppressing plasma turbulence to improve the sustainability of the nuclear fusion reaction. A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage is provided, comprising a current and voltage control means connected to each of the high potential microcurrent generator and pulse voltage generator, and configured to electrically control the movement of electrons and ions inside the plasma by adjusting the intensity of the high potential microcurrent and pulse voltage applied to the first and second electrodes, thereby ensuring that the plasma is maintained stably.
[0018] Here, the ultra-high potential microcurrent generator has a current density of 0.1 mA / cm² at 1 to 10 kV. 2 ~ 100mA / cm 2 It is characterized by being selectively applied within the range, and the pulse voltage generator is selectively applied within the range of 1 to 10 MHz.
[0019] According to an embodiment of the present invention, when an ultra-high potential micro-electrolysis pulse voltage is applied to a chamber in a specific pattern, an electric double layer (EDL) is formed within the plasma. This has the characteristic of increasing the confinement force by controlling the electric field distribution within the plasma and suppressing the diffusion of the plasma to the outside.
[0020] An embodiment of the present invention is characterized by including a magnetic coil wound on the outer surface of the chamber to form an ultra-high potential electric field, and further including a high potential electrode to implement a magnetic confinement field function to prevent the plasma from diffusing outward by combining with the charge distribution inside the plasma.
[0021] In addition, an embodiment of the present invention is characterized by further including a current and voltage sensor for measuring data according to the internal current flow and voltage change of the plasma; an infrared sensor for analyzing the temperature of the plasma; and a high-speed camera and a spectrometer for analyzing the state and ion motion of the plasma.
[0022] In addition, an embodiment of the present invention further comprises an artificial intelligence (AI)-based real-time data analysis means that collects and analyzes data (current and voltage change data, plasma temperature, plasma state, ion motion, etc.) measured from the current and voltage sensors, infrared sensors, high-speed cameras, and spectrometers, learns from this data to predict a combination pattern of microcurrent and pulse voltage to ensure the ionized plasma is stably sustained, and provides the predicted result value to the current and voltage control means.
[0023] At this time, the AI-based real-time data analysis means applies a multimodal model. The multimodal model can be constructed by a combination of: a Convolutional Neural Network (CNN) algorithm for learning the ion motion and electron density change patterns within the plasma by analyzing the magnitude of plasma turbulence obtained through the capture of a high-speed camera and a spectrometer; a Long Short-Term Memory (LSTM) algorithm for predicting the optimal combination pattern of pulse voltage and high-potential microcurrent by learning real-time microcurrent and pulse voltage supply data; and a Reinforcement Learning (RL) algorithm for automatically adjusting the applied microcurrent and voltage intensity through the optimal microcurrent and pulse voltage combination pattern by continuously learning the AI.
[0024] The present invention is characterized by further including an electromagnetic field sensor for measuring the magnetic field response of the plasma. Effects of the invention
[0026] As described above, according to the present invention, the following effects are achieved.
[0027] First, by forming a plasma electric field using only high-potential microcurrents in a vacuum chamber environment and maintaining the continuity of the movement of electrons and ions inside the plasma in an optimized state, optimal power efficiency can be dramatically improved compared to conventional nuclear fusion methods without a magnetic field.
[0028] Second, it eliminates the need for superconducting coils and cooling systems to generate a magnetic field, and allows for the maintenance of low-energy fusion by sustaining the fusion reaction with lower power consumption.
[0029] Third, by controlling a high-potential microcurrent to form an electric field based on the potential difference and forming an ultra-high potential electric field outside the chamber, and by inducing plasma confinement and magnetic field stabilization through the interaction of the electric field inside the plasma and the external ultra-high potential electric field, it is possible to design a system that does not require a magnetic field.
[0030] Fourth, by synchronizing the aforementioned ultra-high potential microcurrent and pulse voltage with the plasma oscillation frequency, plasma turbulence can be suppressed and energy within the plasma can be efficiently distributed. Through this, higher energy efficiency and plasma stability can be secured compared to conventional magnetic confinement (MCF) or inertia confinement (ICF) fusion reactors.
[0031] Fifth, it allows for miniaturization compared to the existing Tokamak / Stellarator method and can be applied to various fields, such as spacecraft nuclear fusion power generation. Brief explanation of the drawing
[0033] FIG. 1 is a conceptual diagram of a plasma fusion reactor using the tokamak principle; FIG. 2 is a schematic diagram showing the configuration of an exemplary embodiment of a nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage according to the present invention; FIG. 3 is a conceptual diagram for explaining the CNN algorithm principle of a multimodal AI model, which is a key part of the present invention; FIG. 4 is a conceptual diagram for explaining the LSTM algorithm principle of a multimodal AI model, which is a key part of the present invention; FIG. 5 is a conceptual diagram illustrating the principle of the reinforcement learning (RL) algorithm of a multimodal AI model, which is a key part of the present invention. Specific details for implementing the invention
[0034] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings of FIGS. 2 to 5.
[0035] The present invention is implemented to stably maintain plasma without a magnetic field by optimizing the current flow within the plasma using high-potential microcurrents and pulse voltages.
[0036] FIG. 2 is a schematic diagram showing the configuration of an exemplary embodiment of a nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage according to the present invention.
[0037] As illustrated in the drawing, the present invention comprises: a chamber (2) in which a vacuum state is maintained; first and second electrodes (4, 6) installed on the upper and lower sides inside the chamber (2); a high-frequency radio source generator (8) for generating plasma between the first and second electrodes (4, 6) by applying RF power to the first and second electrodes (4, 6); a fuel injector (10) for injecting fuel for a deuterium and tritium reaction (DT reaction) into the space between the first and second electrodes (4, 6); and a high-potential microcurrent generator (12) for forming an electric field by applying a high-potential microcurrent to the first and second electrodes (4, 6) and optimizing the current flow within the plasma. A pulse voltage generator (14) for applying a pulse voltage to the first and second electrodes (4, 6) to optimize the distribution of electrons and ions within the plasma and suppressing turbulence in the plasma without a magnetic field to improve the sustainability of the nuclear fusion reaction; a current and voltage controller (16) connected to each of the high potential microcurrent generator (12) and the pulse voltage generator (14), for electrically controlling the movement of electrons and ions within the plasma by adjusting the intensity of the high potential microcurrent and pulse voltage applied to the first and second electrodes (4, 6) so that the plasma can be maintained stably without a strong magnetic field; a current and voltage sensor (18) for measuring data according to the current flow and voltage change within the plasma; an infrared sensor (20) for analyzing the temperature of the plasma; a high-speed camera and spectrometer (22) for analyzing the state and ion movement of the plasma; and a high potential electrode (24) for forming an ultra-high potential electric field, including a magnetic coil (24a) wound on the outer surface of the chamber (2). and data measured from the current and voltage sensor (18), infrared sensor (20), high-speed camera and spectrometer (22) (current and voltage change data.It includes an artificial intelligence (AI)-based real-time data analysis system (26) that collects and analyzes plasma temperature, plasma state, and ion motion, learns from this to predict a combination pattern of microcurrent and pulse voltage to ensure the ionized plasma is stably sustained, and provides the predicted result value to the current and voltage controller (16).
[0038] In an embodiment of the present invention, an electromagnetic field sensor (EM sensor) (28) for measuring the magnetic field response of the plasma may be further included to determine whether a magnetic field is required. The electromagnetic field sensor (28) checks whether the plasma can be sustained with the magnetic field set to 0T.
[0039] Unexplained reference numeral 30 is a sheath layer that is generated when high frequency is applied to electrodes (4, 6) to form an electric field, and is a barrier to prevent ultra-high temperature plasma from coming into contact with the electrodes. 32 is a neutron beam accelerator, which is a device that accelerates electrically charged particles, such as electrons or protons, in a strong electric or magnetic field to generate large kinetic energy.
[0040] In the embodiment of the present invention configured as above, the ultra-high potential microcurrent generator (12) has a current density of 0.1 mA / cm² at 1 to 10 kV. 2 ~ 100mA / cm 2 Ionized plasma is generated by selectively applying it within a range. At this time, the current and voltage sensor (18) measures the potential difference inside the plasma and outputs data on how long the electric field is maintained after it is formed between the first and second electrodes (4, 6).
[0041] The pulse voltage generator (14) selectively applies a pulse voltage within the range of 1 to 10 MHz to control the charge distribution inside the plasma. At this time, the current and voltage sensor (18) measures how the turbulence and current efficiency inside the plasma change when a pulse voltage is applied to the plasma. That is, based on the data measured by the current and voltage sensor (18), changes in ion motion and electron density within the plasma can be analyzed to determine whether instability is reduced. In addition, plasma movement can be analyzed through images acquired from a high-speed camera and a spectrometer (22) to determine whether plasma turbulence is suppressed.
[0042] When the aforementioned ultra-high potential microcurrent and pulse voltage are synchronized with the oscillation frequency of the plasma, a resonance effect occurs, which causes the plasma temperature to rise further and dramatically improves the nuclear fusion efficiency within the reactor. In particular, when combined with wave heating techniques under specific conditions, energy within the plasma can be efficiently distributed.
[0043] The high potential electrode (24) is provided to interact with the ultra-high potential electric field formed by the magnetic coil (24a) and the electric field formed inside the plasma. The high potential electric field combines with the charge distribution inside the plasma to maximize the magnetic field confinement effect. In particular, when the pulse voltage provided by the pulse voltage generator (14) is applied in the form of high-frequency RF or a modulated pulse of a specific period (e.g., MHz to GHz), a nonlinear effect of the electric field occurs, further enhancing the stability of the plasma. When an ultra-high potential electric field is formed on the outer surface of the chamber (2), the magnetic confinement field is strengthened, which plays an important role in preventing the plasma from spreading outward.
[0044] When the pulse voltage provided to the high potential electrode (24) is adjusted to a specific frequency by the control operation of the above current and voltage controller (16), the self-reconnection phenomenon is promoted to efficiently amplify the plasma energy. In this process, the movement of electrons within the plasma is strengthened, and localized energy concentration occurs, increasing the probability of a nuclear fusion reaction.
[0045] The above AI-based real-time data analysis system (24) collects the following data.
[0046] First, the plasma maintenance time (seconds) and measurement data of electron and ion distribution within the plasma, as well as plasma internal potential difference data to confirm the formation of the electric field, are collected within the chamber (2).
[0047] Second, data on pulse voltage period and power consumption, plasma turbulence magnitude analyzed through high-speed camera images, plasma duration, and current retention rate are collected.
[0048] Third, the duration of the nuclear fusion reaction inside the chamber, the electron density inside the plasma, and the power consumption (W) are collected.
[0049] The AI-based real-time data analysis system (24) for analyzing the various forms of collected data mentioned above may apply a multimodal AI model. The multimodal AI model is an artificial intelligence learning model that learns and processes the relationships between various types of data (modalities), such as text, images, audio, and video, by considering them together.
[0050] In an embodiment of the present invention, the multimodal AI model can be constructed by a combination of a Convolutional Neural Network (CNN) algorithm for learning the ion motion and electron density change patterns within the plasma by analyzing the plasma turbulence size obtained through the shooting of a high-speed camera and a spectrometer (22), a Long Short-Term Memory (LSTM) algorithm for predicting the optimal combination pattern of pulse voltage and high potential microcurrent by learning real-time microcurrent and pulse voltage supply data, and a Reinforcement Learning (RL) algorithm for automatically adjusting the microcurrent and voltage intensity applied through the optimal microcurrent and pulse voltage combination pattern by continuously learning the AI.
[0051] As shown in Fig. 3, the above CNN algorithm consists of an input layer, a hidden layer, and an output layer, and each layer learns unique features by including a convolution layer, an activation or ReLu layer, and a fling layer.
[0052] The dataset trained through the above CNN learning algorithm is processed through the LSTM (Long Short-Term Memory) algorithm. As illustrated in Fig. 4, the above LSTM algorithm consists of an input gate, a forget gate, an output gate, and a cell state. The above LSTM determines only the data to be remembered from the input data through the forget gate as the next output value. That is, the labeling generated by the CNN algorithm derives a similar image as the output value in the LSTM algorithm.
[0053] As illustrated in FIG. 5, the above reinforcement learning (RL) algorithm involves an agent attempting new actions through exploration and maximizing rewards by taking the known optimal action through utilization. Furthermore, based on the results (rewards) obtained from each attempt, the existing power pattern is improved into a better power pattern, and the optimal power pattern is automatically updated by repeating this process.
[0054] In an embodiment of the present invention, the AI-based real-time data analysis system (24) collects image data of the electron density, ion distribution, and plasma turbulence magnitude inside the plasma through a monitor (not shown), and can feed back data by visually analyzing the changes in ion motion and electron density inside the plasma using an AI image convergence model.
[0055] The plasma reaction process of the nuclear fusion reactor of the present invention configured as described above is explained as follows.
[0056] First, when RF power is applied to the first and second electrodes (4, 6) through a high-frequency generator (8) in the vacuum chamber (2), resonance heating occurs in which energy matching a specific frequency is transmitted into the plasma formed in the space between the first and second electrodes (4, 6), causing the temperature of plasma ions and electrons to rise. Then, hydrogen deuterium and tritium are injected through the fuel injector (10) and the neutron beam accelerator (32) to induce a nuclear fusion reaction, and when accelerated by a neutron beam, high energy is generated through a nuclear reaction in which high-speed neutrons collide with plasma particles, thereby increasing the density and temperature of the plasma.
[0057] At this time, a microcurrent of 1 to 10 kV of 0.1 mA / cm is generated through a high-potential microcurrent generator (12). 2 ~ 100mA / cm 2When applied, a strong electric field is formed within the plasma due to a potential difference, accelerating plasma particles (ions, electrons, etc.) and further activating plasma energy. The electric field induces a self-contained current flow within the plasma, enabling the nuclear fusion reaction to be sustained without the need for an additional external current supply. Furthermore, the high-potential microcurrent controls the density of electrons within the plasma, thereby strengthening electron-ion interactions. As the electron density increases, the space charge effect of the plasma increases, further accelerating the movement of the ions. At this time, the microcurrent is adjusted by the control operation of the current and voltage controller (16) to maintain the boundary stability of the plasma. In this way, the current and voltage controller (16) electrically controls the movement of electrons and ions within the plasma to stably maintain the ionized plasma, thereby eliminating the need to install a superconducting magnetic field coil for plasma confinement.
[0058] The ultra-high potential electric field formed by the magnetic coil (24a) of the high potential electrode (24) installed outside the chamber (2) strengthens the magnetic confinement field by combining with the charge distribution inside the plasma, thereby preventing the plasma from spreading outward.
[0059] When a high voltage pulse of 1 to 10 MHz is applied to the first and second electrodes (4, 6) through the pulse voltage generator (14), collisional ionization and resonance transition are induced, thereby instantaneously increasing the average energy of electrons. As a result, collisional ionization and tunneling ionization are enhanced. This phenomenon locally raises the plasma temperature, suppresses plasma turbulence, and optimizes the distribution of electrons and ions within the plasma to continuously maintain the nuclear fusion reaction.
[0060] The aforementioned pulse voltage can eliminate instability by controlling the flow of electrons and ions within the plasma. This corresponds to the effect of suppressing magnetic field-based instability, such as Edge Localized Modes (ELMs), that occurs in conventional nuclear fusion methods.
[0061] The above AI-based real-time data analysis system (26) collects data such as the internal electron density and ion distribution of the plasma, changes in the internal potential difference of the plasma, pulse voltage period and power consumption, plasma reaction duration, plasma turbulence magnitude, plasma temperature, plasma duration and current maintenance rate, obtained through the current and voltage sensor (18), infrared sensor (20), high-speed camera and spectrometer (22), and analyzes the data to derive an optimal microcurrent and pulse voltage combination pattern that allows the plasma to be sustained in a stable state and transmits it to the current and voltage controller (14). Through this, the intensity of the microcurrent and pulse voltage is controlled and applied to the first and second electrodes (4, 6), thereby allowing the plasma to be sustained stably without collapsing.
[0062] When a specific pattern (e.g., high-frequency RF or pulse mode) combining ultra-high potential microcurrent and pulse voltage predicted by the AI-based real-time data analysis system (26) is applied to the first and second electrodes (4, 6), an electric double layer (EDL) is formed within the plasma. This controls the electric field distribution within the plasma to increase the confinement force and suppresses the plasma from spreading outward. As a result, the plasma confinement time increases, and the efficiency of the nuclear fusion reaction increases.
[0063] The present invention described above is not limited by the aforementioned embodiments and attached drawings, and it will be obvious to those skilled in the art that various substitutions, modifications, and changes are possible within the scope of the technical concept of the present invention. Explanation of the symbols
[0065] 2: Chamber 4, 6: First and second electrodes 8: Radio Frequency (RF) Generator 10: Fuel Injector 12: High-potential microcurrent generator 14: Pulse voltage generator 16: Current and voltage controller 18: Current and voltage sensor 20: Infrared sensor 22: High-speed camera and spectrometer 24: High-potential electrode 26: AI-based real-time data analysis system 28: Electromagnetic field sensor (EM sensor) 30: Sheath layer 32: Neutron beam accelerator
Claims
Claim 1 A chamber in which a vacuum state is maintained; first and second electrodes installed on the upper and lower sides inside the chamber; a high-frequency (RF) generator for generating plasma between the first and second electrodes by applying RF power to the first and second electrodes; a fuel injector for inducing a nuclear fusion reaction of deuterium and tritium into the space between the first and second electrodes to raise the temperature of the plasma; a high-potential microcurrent generator for forming an electric field by applying a high-potential microcurrent to the first and second electrodes and optimizing the current flow within the plasma; and a pulse voltage generator for applying a pulse voltage to the first and second electrodes to optimize the distribution of electrons and ions within the plasma and suppress plasma turbulence to improve the sustainability of the nuclear fusion reaction. A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage, comprising current and voltage control means connected to each of the high potential microcurrent generator and pulse voltage generator, for electrically controlling the movement of electrons and ions inside the plasma by adjusting the intensity of the high potential microcurrent and pulse voltage applied to the first and second electrodes to ensure the plasma is maintained stably. Claim 2 In claim 1, the ultra-high potential microcurrent generator has a current density of 0.1 mA / cm² at 1 to 10 kV. 2 ~ 100mA / cm 2 A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage characterized by being selectively applied within the range. Claim 3 A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage according to claim 1, characterized in that the pulse voltage generator selectively applies within a range of 1 to 10 MHz. Claim 4 A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage according to claim 1, further comprising a high potential electrode for forming an ultra-high potential electric field including a magnetic coil wound on the outer surface of the chamber and for implementing a magnetic confinement field to prevent the plasma from spreading outward by combining with the charge distribution inside the plasma. Claim 5 A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage according to claim 1, further comprising: a current and voltage sensor for measuring data according to the internal current flow and voltage change of the plasma; an infrared sensor for analyzing the temperature of the plasma; and a high-speed camera and a spectrometer for analyzing the state and ion movement of the plasma. Claim 6 A fusion reactor using ultra-high potential microcurrent and pulse voltage according to claim 5, further comprising an artificial intelligence (AI)-based real-time data analysis means that collects and analyzes data (current and voltage change data, plasma temperature, plasma state, and ion motion) measured from the current and voltage sensors, infrared sensors, high-speed cameras, and spectrometers, learns from this to predict a combination pattern of microcurrent and pulse voltage to ensure the ionized plasma is stably sustained, and provides the predicted result value to the current and voltage control means. Claim 7 In claim 6, the AI-based real-time data analysis means is characterized by applying a multimodal model to a nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage. Claim 8 A fusion reactor using ultra-high potential microcurrent and pulse voltage, characterized in that, in claim 7, the multimodal model is constructed by a combination of: a Convolutional Neural Network (CNN) algorithm for learning ion motion and electron density change patterns within the plasma by analyzing the magnitude of plasma turbulence acquired through imaging by a high-speed camera and a spectroscopic means; a Long Short-Term Memory (LSTM) algorithm for predicting the optimal combination pattern of pulse voltage and high potential microcurrent by learning real-time microcurrent and pulse voltage supply data; and a Reinforcement Learning (RL) algorithm for automatically adjusting the applied microcurrent and voltage intensity through the optimal microcurrent and pulse voltage combination pattern by continuously learning the AI. Claim 9 A nuclear fusion reactor using ultra-high potential microcurrent and pulse voltage, wherein, in claim 1, the electromagnetic field sensor for measuring the magnetic field response of the plasma is further included.
