The invention discloses a control system of a high frequency switching power supply for a Cz silicon single crystal furnace and a control method. The control method includes the steps of combining self-adaptive fuzzy control and sliding mode variable structure control, and aiming at a high-frequency switch heating electric power for the Cz silicon single crystal furnace to design a power controller based on a self-adaptive fuzzy control and sliding mode variable structure control method. The control system of the high frequency switching power supply for the Cz silicon single crystal furnace and the control method play respective advantages of fuzzy control and sliding mode variable structure control, further improve dynamic performance of the system, have good robustness for input voltage or load disturbance, and relieve or avoid vibration which generally happens to a sliding mode.

Control system of high frequency switching power supply for Cz silicon single crystal furnace and control method

The invention provides an adaptive inversion nonsingular terminal sliding mode control method of a micro gyroscope. An inversion method and a terminal sliding mode are combined, an inversion terminal sliding mode control law is designed according to the Lyapunov stability theory, and therefore, system status can be converged to a balance point within the short limited time. Furthermore, by means of self-adaptive control, angular velocity and other system parameters of the micro gyroscope can be identified. Nonsingular terminal sliding mode control is introduced in consideration of singularity in the existing terminal sliding mode control, whole nonsingular control of the system is achieved, response speed of a controller is completely comparable to the traditional terminal sliding mode, and therefore, the adaptive inversion nonsingular terminal sliding mode control method has important theoretical and practical application value. By means of the adaptive inversion nonsingular terminal sliding mode control method of the micro gyroscope, the rate of convergence and tracking performance are ensured while strong robustness and adaptive ability to external disturbance are achieved.

Adaptive inversion nonsingular terminal sliding mode control method of micro gyroscope

Self-adaption fuzzy sliding control method for active filter based on fuzzy approximation

The invention discloses a robust neural network control system for a micro-electro-mechanical system (MEMS) gyroscope based on sliding mode compensation and a control method of the control system. The control system comprises a given trajectory generation module, a sliding mode surface definition module, a neural network controller, a weight adaptive mechanism module, a sliding mode compensator, an MEMS gyroscope system, a proportional-differential control module, a first adder and a second adder. The control method of the control system comprises the following steps of: establishing an MEMS gyroscope kinetic model based on a sliding mode surface, designing a controller structure, and designing an updating algorithm of a radial basis function (RBF) network weight, so that the trajectory of the MEMS gyroscope is tacked. By the control method, the influence of the unknown dynamic characteristic of the MEMS gyroscope and noise interference can be compensated on line, the vibration trajectory of the MEMS gyroscope completely follows a reference trajectory, and the anti-interference robustness and reliability of the system are improved; the updating algorithm of the network weight is designed on the basis of a Lyapunov stability theory, so that the stability of a closed-loop system is ensured; and a powerful basis is provided for expanding the application range of the MEMS gyroscope.

Robust neural network control system for micro-electro-mechanical system (MEMS) gyroscope based on sliding mode compensation and control method of control system

The invention discloses a global sliding mode control method of a micro gyroscope. A global sliding mode control system is established, a signal which can be measured by the micro gyroscope is taken as an input, the stability of a closed-loop system is verified on the basis of a Lyapunov stability theory, and the global sliding mode control is realized through designing a dynamic nonlinear sliding mode surface equation. According to the global sliding mode control, the defect that the sliding mode control doesn't have the robustness when reaching a movement stage is eliminated, so that a system has the robustness in a whole response process, and the disadvantage that a mode reached in conventional sliding mode variable structure control doesn't have the robustness is overcome. According to the control method, the selection of sliding mode coefficients can be simplified, the transient characteristic and the robustness of the sliding mode control system are improved, a closed-loop control system has the global robustness, the contradiction between the transient characteristic and the robustness is resolved, and a powerful foundation is provided for expansion of the application range of the micro gyroscope.

Global sliding mode control method of micro gyroscope

The invention discloses an adaptive fuzzy sliding mode controller for a micro gyroscope, which is characterized by comprising an adaptive fuzzy control system based on a reference module, and a switching control system. In the adaptive fuzzy control system, a sliding mode surface is used as the input of the fuzzy controller, and the weight is automatically adjusted by a dynamic adaptive law so as to realize fuzzy approximation to an equivalent control law. The adaptive fuzzy sliding mode controller for the micro gyroscope of the invention has the following benefits that: when the system is in a steady state, the dynamic performance of the micro gyroscope is an ideal mode, and the manufacturing error and the environment interference are compensated; an adaptive algorithm designed based on a Lyapunov method can ensure the global asymptotic stability of the whole closed-loop system; and with adaptive adjustment on the upper bound of the approximation error, buffeting is reduced obviously.

Adaptive fuzzy sliding mode controller for micro gyroscope

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Adaptive fuzzy sliding mode controller for micro gyroscope