8 results about "Gain scheduling" patented technology

The application relates to the technical field of medical care, and discloses a personalized nursing optimization method for rapid recovery after gastrointestinal surgery, which takes an infusion pump driving reference signal as a noise source input, performs adaptive filtering on an original acoustic signal to output purified borborygmus; a physiological-acoustic coupling index is calculated in combination with body surface electrocardio characteristics to quantize the synchronization degree of mechanical peristalsis and nerve innervation; when the coupling index confidence is insufficient, a pseudo-random fluid pulse excitation is applied for system identification, nerve reflex sensitivity and reflection response time delay parameters are extracted through cross-correlation analysis; a multi-dimensional state vector containing the above index and parameters is constructed, and a gain scheduling control algorithm is used to dynamically adjust the infusion flow rate. Through source reference adaptive filtering and active fluid pulse identification, the application accurately evaluates the nerve innervation state, and realizes closed-loop flow rate control adapting to individual recovery processes by using a gain scheduling algorithm.

This invention discloses a fault detection and fault-tolerant control method for roll-to-roll systems, belonging to the field of industrial printing control. This method solves the problem of registration error propagation caused by actuator failure. Its technical solution is based on a coupled dynamics model established by fully decoupled proportional-derivative control, and designs a fault detection index based on the 2-norm to identify and locate faulty units in real time. Then, upstream and downstream collaborative fault-tolerant control is implemented: adaptive feedback adjustment combined with gain scheduling is used for the upstream faulty unit, and control law reconstruction that removes the dependence on coupling compensation for the faulty unit is used for the downstream faulty unit to block the error propagation path. This method can effectively suppress error propagation under fault conditions and improve the system control accuracy and robustness.

The present application relates to the technical field of active suspension system control, and particularly relates to a gain scheduling pulse control method for vehicle suspension under network delay. The method first establishes a dynamic equation and a state space model of vehicle active suspension containing network delay, and constructs a linear time-invariant state space model based on dynamic integral quadratic constraint; a corresponding gain scheduling pulse controller is designed, an equivalent form of the suspension state space model is established through an uncertain operator, and a pulse feedback interconnection system is derived; a stability condition of the control system is given under the dynamic integral quadratic constraint framework, a controller design method is proposed, a gain matrix is solved, and software simulation and hardware-in-the-loop experiment verification are performed. The method effectively simplifies the model processing flow and reduces the calculation complexity, can realize the stability control of the vehicle active suspension under network delay, and at the same time, takes into account the safety constraints of suspension displacement and actuator control force, and improves the ride comfort and control stability of the vehicle.

The application discloses a gain scheduling intelligent closed-loop control method based on a permanent magnet synchronous motor, wherein under different working conditions, the gain and error accumulation can be intelligently controlled. The control structure can guarantee the independence of the speed instruction input to the output and the interference input to the output, so that the system has better reference trajectory tracking and interference suppression capability. In order to obtain the best control performance when the parameters are uncertain, a gain scheduling closed-loop control system is used in the advanced pre-input system. Compared with the controller without the controller, the steady-state error is smaller and the dynamic response is better under the condition of external load torque interference and permanent magnet synchronous motor parameter uncertainty.

The application discloses a robust control law scheduling method and system based on switching mapping modeling, and is suitable for a multi-working condition segmented smooth complex power system. The method realizes stable control of the complex power system during working condition switching through six core steps of working condition profile region division, local linear model construction, switching mapping modeling, disturbance set quantification, robust controller design and prediction-compensation scheduling. The application firstly models the working condition switching as an independent dynamic event, quantifies the disturbance propagation effect through a Jacobian matrix, designs a robust controller based on the method, and realizes seamless switching of the control law in combination with state prediction. The method solves the transient instability problem of traditional gain scheduling technology during working condition switching, and can be widely applied to the fields of aero-engines, gas turbines, ship power systems and the like, and has high robustness and universality.

This invention relates to an online identification method and medium for the center of gravity of an aircraft, as well as a control law gain scheduling method. It pertains to the field of aerospace technology. Under stable flight conditions, a preset multi-channel sinusoidal orthogonal excitation signal is input, and the aircraft's state variables, control variables, trim parameters, and flight state parameters are collected. Based on an augmented extended Kalman filter algorithm, the closed-loop system of the aircraft is identified online to obtain the stability matrix and control matrix, thereby obtaining the aircraft's longitudinal short-period modes. A subset of conditions closest to the obtained real-time flight state parameters is matched in a priori feature database. Within this subset, the real-time feature vectors are matched with feature vectors in the priori feature database to find the optimal match, thus obtaining an online estimate of the current center of gravity. This solution eliminates the need for dedicated sensors and fully utilizes existing flight control system hardware resources to identify the aircraft's center of gravity online, in real-time, and seamlessly during flight.

The present application provides a kind of method for automatically controlling ore pulp PH with lime milk of grid residue, belong to the technical field of automatically controlling ore pulp PH with lime milk of grid residue, the present application is calculated by online densimeter and ore pulp temperature sensor effective alkali concentration of lime milk and feedforward correction flow setting value, utilize redundant double pH electrode and kalman filter fusion estimation ore pulp pH value, based on mechanism titration curve model driving gain scheduling controller in different pH work interval automatic switching proportional band parameter, and the cumulative concentration prediction value of ore pulp output by physical constraint digestion kinetics modeling network is fed back to gain scheduling controller correction dosing output, solve the technical problem that lime milk of grid residue delayed release alkali leads to ore pulp pH control system cannot predict potential alkali amount, cause systematic over-alkaline.