11 results about "Fuzzy sliding mode control" patented technology

The invention relates to the field of coiled material film covering industrial control systems, in particular to a multi-station cooperative intelligent control system for synchronous film covering of multiple coiled materials. The obtaining module obtains a unified state fusion matrix; a multi-station cooperation module; decision generation is carried out on an execution mechanism for synchronous film covering of multiple coiled materials, a prediction control mechanism is embedded in the decision process to serve as constraint processing, and a fuzzy sliding mode control strategy is introduced; an execution and correction module; the system is used for receiving and executing a multi-station coordinated regulation instruction set. According to the method, a multi-agent collaborative decision framework is constructed based on De-POMDP, each station is set as an independent agent, organic combination of local state perception and global collaborative decision is realized, interaction and combinatorial optimization of regulation and control plans of each agent are realized through a shared data pool, an optimal plan combination is screened in combination with a joint reward function, and the optimization of the regulation and control plans is realized. And it is ensured that the regulation and control instruction can accurately meet the actual requirement for synchronous film covering of multiple coiled materials.

The present invention discloses a vehicle fuzzy feedforward path tracking control method based on hydraulic steering leakage compensation. The method comprises: acquiring the steering wheel angle, wheel angle, and piston rod displacement; outputting desired wheel and steering wheel angles in different cycles using a path tracking algorithm; obtaining a feedforward leakage compensation parameter via fuzzy control; constructing a fuzzy control system; defuzzifying it using the centroid method to yield a fuzzy sliding mode controller; comparing the actual rear wheel angle; and controlling a compensation solenoid valve to replenish fluid each cycle. These steps are repeated for subsequent cycles until the path tracking process is complete. The method precisely determines the feedforward compensation parameter, thus accurately controlling the solenoid valve's duty cycle to timely compensate for leakage and enhance the path tracking accuracy of intelligent vehicles.

The invention belongs to the field of mechanical engineering, particularly relates to an intelligent speed regulation control system of a diesel engine, and aims to solve the problems of rotating speed response lag, low control precision and high energy consumption of an existing system under a dynamic load. The system comprises a real-time state sensing module, a composite error generation module, a multi-mode control decision module, an execution driving module and a self-learning optimization module. Smooth switching is realized based on mode arbitration by constructing a three-dimensional composite error feature matrix and fusing three strategies of feed-forward compensation, adaptive fuzzy sliding mode control and online reinforcement learning; and high-precision oil injection execution and offline knowledge extraction are combined, so that the dynamic response, the steady-state precision and the energy efficiency performance are improved.

This invention discloses a BIM-based hoisting construction supervision and optimization management system, comprising: a perception layer: real-time acquisition of multi-source heterogeneous data; a decision layer: the bottom layer uses an incremental RRT# algorithm to generate candidate paths that satisfy the kinematic constraints of the crane, and the upper layer embeds a distributed Q-learning framework, where each crane acts as an independent intelligent agent, collaboratively learning through a shared experience pool, dynamically optimizing path planning strategies based on environmental perception data and construction progress requirements, and simultaneously developing a fuzzy sliding mode control algorithm combined with an LSTM-Transformer model of crane trolley and hook travel speeds and hook lifting speeds, as well as a wire rope disturbance prediction model to calculate crane motion compensation parameters, and generating optimal control commands in advance based on predicted crane movement and lifting data; an execution layer: the commands generated by the decision layer are issued to the construction equipment; and an optimization layer: a BIM model is constructed, and the equipment execution results and structural safety monitoring data are fed back to the decision layer.

The invention discloses a bandwidth limited system T-S fuzzy sliding mode control method based on an adaptive WTOD protocol, and belongs to the technical field of industrial control and intelligent manufacturing. The method comprises the following steps: establishing a T-S fuzzy networked system model containing time-varying and time-lag; designing a self-adaptive WTOD transmission protocol integrated with a uniform quantization mechanism; constructing a fuzzy sliding mode controller based on the available system state information; giving out discrimination conditions for ensuring that the indexes of the T-S fuzzy networked system are bounded and the sliding mode surface is reachable in an inequality group form; converting an inequality group discrimination condition containing linear coupling into a minimization problem by adopting cone complementary linearization; and optimizing the final upper bound of the closed-loop system state and the upper bound of the sliding mode surface reaching neighborhood based on a particle swarm algorithm. According to the method, the cooperative improvement of the control performance and the communication efficiency is ensured, and a verifiable and easy-to-implement unified analysis and design framework is provided for the bandwidth-limited networked nonlinear system.

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.

The invention discloses a safety triggering sliding mode control method based on a Paillier encryption mechanism. The method comprises the following steps of 1, establishing a T-S fuzzy system model with time varying and time lag; 2, designing a dynamic event triggering mechanism based on membership function dependence; 3, realizing encryption of a trigger state signal based on a Paillier encryption algorithm; 4, realizing encryption of the control signal based on the Paillier semi-homomorphic property; 5, obtaining a decrypted fuzzy sliding mode control law based on a Paillier decryption algorithm, inverse mapping and a scaling coefficient, and obtaining a closed-loop fuzzy system; and 6, giving a discrimination basis which ensures that the indexes of the closed-loop fuzzy system are finally bounded and the sliding mode surface is reachable in the form of a linear matrix inequality group, and establishing an optimization problem to solve a controller gain matrix. The problem that system performance and sensitive information safety are difficult to consider in an existing sliding mode control method is solved.

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.