5 results about "Fuzzy sliding mode control" patented technology

The application discloses a ball and link system control method based on fuzzy sliding mode and periodic event triggering, first constructs a state space equation of the system and carries out regular transformation to obtain a standard system model; then, a fuzzy sliding mode switching function is established in combination with a fuzzy membership function, and a periodic event triggering mechanism is designed; on the basis, a periodic event triggering fuzzy sliding mode controller is constructed, an actual sliding mode band is constructed by analyzing a periodic sampling error, state trajectory is ensured to enter the band in a limited time and remain in the band, and the reachability of the sliding mode surface is ensured; then, a controller gain matrix is solved based on stability analysis of the sliding mode, is brought into the controller to complete closed-loop control on the ball and link system, and a system sampling period is established. The application uses the fuzzy membership function to design the sliding mode surface, has lower conservativeness, and uses the periodic sampling to design the event triggering mechanism, theoretically eliminates the Zeno phenomenon, and provides an efficient control scheme for a system with limited network and communication resources.

This invention relates to a control method for a fast-reflecting mirror based on fuzzy sliding mode control, belonging to the field of optical device control technology. The method includes the following steps: S1: Constructing a mathematical model of the fast-reflecting mirror; S2: Constructing a state-space expression based on the mathematical model of the fast-reflecting mirror; S3: Designing a sliding mode controller, designing the sliding surface based on the state-space expression, determining the reaching law, deriving the sliding mode control law, and verifying its feasibility; S4: Designing a fuzzy controller, establishing fuzzy rules, and selecting appropriate defuzzification processing; S5: Constructing a fuzzy sliding mode controller based on the fuzzy controller and the sliding mode controller, and achieving high-precision control of the deflection angle of the voice coil motor-driven fast-reflecting mirror based on the fuzzy sliding mode controller. This invention improves the response speed of the fast-reflecting mirror during deflection and reduces the influence of external interference during the deflection of the fast-reflecting mirror.

The application provides a thermal power unit steam temperature control method and device, relates to the thermal power generation technical field, and the method comprises the following steps: obtaining a first adjustment weight related to a control variable and a second adjustment weight related to a compensation amount according to the operation condition of the thermal power unit; obtaining a first compensation amount according to a first input array related to the steam temperature of the thermal power unit and a prediction model constructed based on an improved Transformer on the basis of the first adjustment weight, obtaining a second compensation amount according to the first input array, the operation condition, the prediction model and a steam temperature control model constructed based on an adaptive fuzzy sliding mode control algorithm, and obtaining a third compensation amount according to an external disturbance amount; and obtaining a control instruction according to the first compensation amount, the second compensation amount, the third compensation amount and the second adjustment weight. The method can ensure that the steam temperature of the thermal power unit is close to a set value, realize the control target of reducing the main reheat steam temperature fluctuation, reducing the amount of desuperheating water, improving the operation efficiency of the unit and maintaining the operation safety of equipment.

A kind of mechanical arm trajectory tracking control method of optimizing fuzzy sliding mode control belongs to industrial robot control technical field, solve the technical problem that traditional mechanical arm trajectory control method system output produces chattering phenomenon, including the following steps:1, obtain the desired trajectory information of mechanical arm;2, establish n degree of freedom mechanical arm dynamics model;3, design sliding surface s and exponential approach law 4, design three coefficients as the gain between input and output of fuzzy controller and sliding mode controller, and use the solution three coefficients using reptile algorithm to optimize membership function;5, design the input of fuzzy controller is sliding surface and the derivative of sliding surface, the switching gain of exponential approach law is output, and the corresponding membership function and fuzzy logic are designed;6, obtain the controller based on reptile algorithm optimization fuzzy control, realize trajectory tracking control.The application effectively realizes mechanical arm trajectory tracking control, has faster response speed, reduces the chattering phenomenon of control output.

This invention provides a bit-flip-resistant sliding mode control method for T-S fuzzy systems with energy-dependent noise, belonging to the field of industrial control and intelligent manufacturing technology. The invention includes the following steps: establishing a T-S fuzzy networked system model with time-varying delays; designing a bit-flip-resistant redundant encoding / decoding strategy to correct measurement signal transmission errors; constructing a sliding surface and a fuzzy sliding mode controller based on the decoded output signal; suppressing control signal transmission noise and constructing a closed-loop system using an analog signal decoupling transmission mode; providing sufficiency criteria for the bounded mean square exponent and reachability of the sliding surface of the closed-loop system using a system of inequalities; and handling non-convex constraints and solving the controller gain matrix using a cone-complement linearization algorithm. This invention ensures the control performance of the system under channel-constrained conditions and provides a comprehensive design scheme for networked nonlinear systems under multi-source interference, balancing communication reliability and control accuracy.