9 results about "Chaotic oscillations" patented technology

The invention relates to a self-adaptive fractional order sliding mode control method of a doubly-fed wind power system, solves the problem that chaotic oscillation of a doubly-fed induction generator cannot be effectively suppressed, and belongs to the technical field of wind power generation control. The method comprises the following steps: establishing a chaos sensitive parameter identification model of the doubly-fed induction generator, and estimating system state variables and harmonious scheduling in real time; calculating a chaos intensity index through a chaos phase trajectory prediction module based on a system state variable and harmonious scheduling k; the method comprises the following steps: establishing a fractional order adaptive adjustment mechanism, and dynamically adjusting the fractional order of a fractional order sliding mode surface; according to the method, a fractional order sliding mode surface with a dual-mode switching characteristic is designed; constructing a multi-time scale nonlinear disturbance observer to obtain a total disturbance estimated value; based on the sum fractional order sliding mode surface, designing a chaos feedforward compensator to obtain a feedforward compensation control signal; and performing fusion based on the fractional order sliding mode surface, the total disturbance estimation value and the feedforward compensation control signal to obtain a final control signal.

The invention discloses an attraction domain boundary determination method and device of a wind power system and computer equipment. The method comprises the following steps: constructing a mathematical equation set model corresponding to a wind power system; constructing a random disturbance model based on the change factors of the wind power system; adjusting the mathematical equation set model based on a random disturbance model to obtain a target mathematical equation set; solving the target mathematical equation set to obtain a phase trajectory diagram; and determining a target attraction domain boundary of the wind power system based on the phase trajectory diagram. The technical problem that the risk of system chaotic oscillation existing in the attraction domain boundary of the chaotic attractor cannot be determined due to unstable output of a wind power system caused by uncertain factors such as wind speed change is solved.

The invention provides a performance control method and device based on micro-electro-mechanical system gyroscope dynamics analysis, relates to the field of micro-electro-mechanical systems, and solves the technical problems of nonlinear oscillation, drift and high-frequency chaotic oscillation caused by the influence of external factors on a micro-electro-mechanical system gyroscope. The method comprises the following steps: establishing a fractional order model of a dual-mass micro-electro-mechanical system gyroscope, and carrying out kinetic analysis to determine a system parameter range of a micro-electro-mechanical system in a stable operation state; constructing a controller based on NGT3FLS and a command filtering technology, and controlling the micro-electro-mechanical system; a dynamic event triggering mechanism is designed, a dynamic variable is introduced to adjust a triggering condition, and when the triggering condition is met, the controller sends a control signal to the micro electro mechanical system; and constructing a finite time specified performance function, and constraining an output tracking error until the output tracking error is converged into a threshold boundary range. The method and the device are used in the process of optimizing system parameters and designing the controller.

This invention discloses an event-triggered accelerated adaptive control method for a MEMS gyroscope coupled network system, comprising the following steps: S1, establishing a MEMS gyroscope coupled network model based on a series-parallel coupling mechanism; S2, performing dynamic analysis of the coupled network using phase diagrams, time history diagrams, and Lyapunov exponents; S3, designing an equivalent analog circuit based on Kirchhoff's laws; S4, building a semi-hardware experimental platform using a double-layer PCB circuit board, and empirically verifying the nonlinear chaotic oscillations in the coupled network system through experimental measurements using an oscilloscope and a power signal generator; S5, designing an accelerated adaptive controller.

The application belongs to the technical field of digital circuits, and particularly relates to an implementation method of a novel Shinriki chaotic oscillation circuit based on a memristor and a memcapacitor, which comprises the following: a cubic magnetic control memristor, which replaces a diode bridge to construct a Shinriki chaotic oscillation circuit; an exponential charge integral control memcapacitor, which replaces a capacitor to realize rich dynamic performance of the novel Shinriki chaotic oscillation circuit; a negative resistance converter, which supplies power to the novel Shinriki chaotic oscillation circuit; and an RLC resonance module, which starts oscillation of the novel Shinriki chaotic oscillation circuit and performs frequency selection oscillation. The novel Shinriki chaotic oscillation circuit based on the magnetic control memristor and the exponential charge control memcapacitor has important research significance and application value, and can enhance the nonlinear characteristics and multi-stable behavior of the oscillation circuit by introducing two types of memory elements and realizing digital platform verification.

The present invention provides a three-dimensional multi-directional multi-scroll chaotic oscillator. This oscillator outputs a continuous multi-directional multi-scroll chaotic oscillation signal through an inverted integral summation circuit, an inverted proportional operation circuit, and a multiplier circuit. By changing the polynomial structures corresponding to the three control branches and adding or subtracting the sign function operation modules within the polynomials, the polynomials are shifted, thereby controlling the number of multi-scrolls in the corresponding directions. This reduces the number of circuit components used, increases the flexibility of hardware circuit control, and reduces the difficulty of circuit debugging. This provides a circuit foundation for the application of multi-directional multi-scroll chaotic signals in the fields of electronics, communications, and information engineering, and facilitates research on multi-directional multi-scroll chaotic oscillators in applications such as image encryption.

The invention discloses a memristive neuron neuromorphic dynamics prediction method based on a hybrid machine learning framework. The memristive neuron neuromorphic dynamics prediction method is suitable for third-order and above memristive neuron systems with external stimulation. According to the method, an improved next-generation reserve pool is integrated to calculate MNGRC and XGBoost regression algorithms, and a dual-path prediction architecture specially designed for partial state observable scenes is constructed. The architecture can realize high-precision prediction of complex neuromorphic dynamic behaviors of third-order memristive neurons under the condition that only a single state variable is observed. According to the technical scheme, the double-layer secondary reserve pool design and the XGBoost state estimation mechanism work cooperatively, the dependence of a traditional method on complete state information is effectively overcome, and the accuracy and stability of long-term prediction in the chaos marginal area are remarkably improved. The method shows excellent cross-mode generalization ability, and accurate prediction of multiple types of neuromorphic behaviors including resting, periodic oscillation, chaotic oscillation and complex burst modes can be realized by only needing a small amount of training data of several representative behaviors; and a key technical support is provided for the practical application of the neuromorphic computing system in resource-constrained environments such as edge computing and the like.

The invention discloses a fixed-time preset-performance ship rolling chaos suppression fault-tolerant control method, which comprises the following steps of: establishing a ship rolling motion mathematical model, and further constructing a controlled system model containing an unknown nonlinear function and a health state matrix; introducing a fuzzy logic system to approach an unknown nonlinear function, and designing a fuzzy state observer to output a system state estimation value; defining a tracking error based on the expected rolling angle and the state estimation value, and designing a fixed time preset performance function to generate a time-varying constraint boundary; and a final fault-tolerant control law is designed through a backstepping method framework in combination with tracking errors and performance boundaries. Precise tracking of the rolling angle can be achieved within fixed time, it is guaranteed that system response meets preset performance constraints, the robust fault-tolerant ability to model uncertainty and actuator faults is achieved, chaotic oscillation in ship rolling motion is effectively restrained, and navigation stability and safety are improved.

The present application relates to the technical field of molecular computing and information security, in particular to a chaotic oscillation system based on DNA chemical reaction network, which mainly comprises a catalytic reaction module, a degradation reaction module, an annihilation reaction module and a synchronization reaction module; the present application takes DNA reaction network as a research starting point, designs a chaotic oscillation system based on DNA chemical reaction network, and constructs idealized CRN by the catalytic reaction module, the degradation reaction module, the annihilation reaction module and the synchronization reaction module designed by Visual DSD software, solves linear equations, monomial quadratic equations and linear equation groups through the differential equations of idealized CRN, and constructs DSD simulation circuit, so as to realize the construction of logic circuit and information encryption through the constructed DSD simulation circuit.