33 results about "Nonlinear adaptive control" patented technology

The invention discloses a nonlinear adaptive control method of a variable error, which approximates a performance index function and a strategy control function by introducing an appropriate approximate error, and enables the index function to finally converge consistently. According to the method, a neural network is combined, and due to the good approximation performance of the neural network, the final performance index function can be converged to one neighborhood of the optimal evaluation function by adjusting the approximation errors of am evaluation network and a strategy network at thesame time.

Nonlinear adaptive welders and power source controls are provided along with welding methods method for regulating a welding process, in which one or more welding waveform parameters are adapted in nonlinear fashion based on measured welding process feedback information.

The invention discloses a nonlinear self-adaption control method of near-space hypersonic vehicle (NHV), which belongs to a flight control method in the technical field of aerospace. The control method mainly comprises three control law parts: a nominal nonlinear generalized predictive control law (NGPC), a B-spline recursive functional linkage network (BRFLN) self-adaption control law, and a robust control law of gain self-adaption adjustment. The invention integrates the simplicity of the NGPC method and the effectiveness of dynamic uncertainty of the BRFLN learning, targets the immeasurable dynamic uncertainty and fast interference of an attitude system in the flight of the NHV, brings favorable learning effect, and realizes the nonlinear accurate control to the attitude angle.

The invention relates to a multi-model adaptive control method and a multi-model adaptive control system of a spherical tank system. The method comprises the steps as follows: identifying a spherical tank liquid level control system through at least one linear model and at least one nonlinear model based on a neural network, wherein the two models correspond to a linear adaptive controller and a nonlinear adaptive controller based on the neural network respectively; and switching to the optimal controller to implement control at each sampling moment on the basis of a performance index switching unit. Compared with a conventional nonlinear multi-model adaptive control method, the limit of nonlinear terms of the spherical tank liquid level control system is relaxed to bounded growth rate, and the adaptability of the multi-model adaptive controller can be effectively improved.

The invention discloses a nonlinear adaptive control method for a dual UAV hoisting system based on load generalized displacement, which belongs to the field of electromechanical system control. The method includes: according to the two-dimensional plane model of the system, a novel nonlinear adaptive control method is proposed without linearization and other simplified operations. In this method, while considering the air resistance of the aircraft, by introducing the state coupling of the load swing angle, on the basis of ensuring the completion of the positioning task of the aircraft, the suppression of the load swing is accelerated. The experimental results show that the proposed scheme has good performance in suppressing the load swing and quickly completing the positioning task of the aircraft.

The invention relates to a small unmanned helicopter nonlinear control method. A small unmanned helicopter self-adaptive control method based on an immersion and invariant set method is provided, and realizes the effect that a small unmanned helicopter can maintain a control effect with stable posture under the situation of parameter uncertainty. Thus, the technical scheme adopted by the invention provides a posture nonlinear self-adaptive control method for the small unmanned helicopter, which applies the immersion and invariant set method to the control of a small unmanned helicopter posture system while the small unmanned helicopter is under the situation of parameter uncertainty. The posture nonlinear self-adaptive control method is mainly applied to small unmanned helicopter nonlinear control.

The invention discloses a nonlinear adaptive AC servo motor angular position control method and system. The method includes: acquiring original motor rotor angular position data; inputting the original motor rotor angular position data into a motor rotor angular position control module; generating motor rotor angular acceleration data through second-order time differentiation of the motor rotor position data; The motor rotor angular acceleration data and the output of the motor rotor angular position control module are simultaneously input to the incremental inverse dynamics control module; the output of the incremental inverse dynamics control module is input to the motor current control module. The invention does not need a motor model and a motor load model required for parameter setting of the controller, and solves the difficulty in identifying the motor model and load model and the technical problem of time-varying parameter setting of the controller in the existing servo motor control technology. In the case that the prior art cannot effectively solve the problem, a simple, effective and high-performance nonlinear adaptive control method is provided.

The invention relates to a magnetic bearing system inertia axis identification method based on a nonlinear self-adaptive algorithm. Firstly, a magnetic bearing system rotor dynamics model including unbalance and Sensor Runout is established; secondly, a nonlinear self-adaptive control law and an estimation law are provided, and Fourier coefficients of Sensor Runout higher harmonic components can be also estimated while the estimated value of the inertia center displacement of a magnetic suspension rotor tends to zero; then, identification of Sensor Runout synchronous components and the unbalance amount of the rotor is achieved by changing the rotation speed strategy of the rotor and increasing the observability degree of a system, namely the identification of inertia axis is achieved; finally, the Fourier coefficients of the synchronous components in a self-adaptive algorithm are corrected, multi-harmonic current is accurately inhibited, displacement stiffness is compensated, and multi-harmonic vibration control of a magnetic-suspension inertia executing mechanism is achieved.

The invention provides a steering engine saturation resistant self-adaptive control method for ship courses. The method comprises performing a mathematical description on ship course motion, and constructing a dynamic saturation-resistant compensator, a first state vector z1 of a self-adaptive backstepping controller and a Lyapunov function of the z1 to obtain virtual control; calculating a second state vector z2 of the self-adaptive backstepping controller through subtraction through combining ship course angle information, the course angular speed and the compensation state which is output by a dynamic saturation-resistant compensator module, constructing an overall Lyapunov function in the control method, and obtaining a ship course non-linear self-adaptive controller provided with the saturation-resistant compensator through combining ship course stability conditions to complete the ship course non-linear self-adaptive control method provided with the saturation-resistant compensator. The self-adaptive control method is explicit in thinking, clear and reasonable in structure and prone to engineering implementation.

The invention provides a tracing optimization control method for a wind turbine. According to the method, through calculating an estimated value of the air power torque of a wind wheel and a measuring value of the rotating speed of the wind wheel or a power generator, a non-linear self-adaptive control algorithm is designed; the controller linear part is subjected to optimization design; and the feasibility of the controller optimization is theoretically demonstrated.

The invention relates to a control method of a power electronic power conversion device, in particular to an adaptive nonlinear control method suitable for a megawatt-level medium-voltage medium-frequency three-level DC converter. The control scheme mentioned in the present invention mainly completes the voltage stabilizing output function and the short-circuit current limiting control function, so as to realize the ability to adapt to the change and disturbance of the subsequent stage load and the short-circuit fault protection ability. The controller mentioned in the present invention divides the system state into CCM steady state, DCM steady state and dynamic state, and the switching between the three states is accompanied by parameter adaptive adjustment, so as to obtain relatively good dynamic and static characteristics of voltage stabilized output. The controller mentioned in the present invention can overcome the shortcomings of the traditional control method that it is difficult to take into account the dynamic performance and static performance of the voltage stabilized output, as well as the shortcomings of different working modes, and can obtain the smaller ripple in the steady state and the smaller voltage fluctuation in the disturbance to the maximum extent. Advantages of small size and faster recovery time.