The invention discloses a detection circuit and a detection method for detecting whether a combustor is successfully ignited or not. The detection circuit comprises a combustor controller, an ignition coil, a first spark plug, a second spark plug, a first ignition high-voltage wire and a second ignition high-voltage wire. And the first ignition high-voltage wire is connected with the ignition coil and the first ignition electrode. And the first ignition high-voltage wire transmits a high-voltage pulsesignal to the first ignition electrode. And the second ignition high-voltage wire is connected with the ignition coil and the second ignition electrode. And the second ignition high-voltage wire transmits a high-voltage pulsesignal to the second ignition electrode. The first ignition electrode and the second ignition electrode are used for enabling high voltage difference between the first ignition electrode and the second ignition electrode to break down gas to form sparks, and fuel oil is ignited by the sparks to form flames. If the first ignition electrode, the second ignition electrode and the shell of the combustor form a loop to generate a current signal, it is judged that ignition succeeds; otherwise, judging that ignition fails.
The invention relates to the technical field of power system detection and protection, and discloses a ground fault detection and protection method, system and device. The method comprises the following steps: according to a sampling frequency fT, respectively collecting currents of a head end and a tail end of the DC filter to obtain a head end current sequence and a tail end current sequence; according to the head end current sequence and the tail end current sequence, an absolute value obtained by differencing the head end current and the tail end current collected at the same moment is divided by a set coefficient C to obtain a point-line distance D; according to the time window length T, accumulating the point-line distances D calculated by the corresponding head end current and tail end current to obtain the sum Ds of the point-line distances; and determining the fault type according to the sum Ds of the point-line distances and the setting value Dset. According to the method, the fault of the power transmission line can be monitored in real time by collecting the currents at the head end and the tail end of the direct current filter, when the fault occurs, the currents at the head end and the tail end of the direct current filter synchronously change, the sum Ds of the point-line distances obtained through calculation is matched and compared with the setting value Dset, and the fault type can be rapidly judged; the efficiency and accuracy of fault type judgment are effectively improved.
The invention discloses a position control method of a hydraulic servosystem, and relates to the technical field of hydraulic servo systems. The method comprises the steps of obtaining an application range of the hydraulic servosystem and marking the application range as an initial range; based on the initial range, determining a moving position range of the hydraulic servo system in the initial range and marking the moving position range as an initial search range; based on the initial search range, a final search range is obtained through calculation according to a final range correlation function, and the optimal movement position of the hydraulic servo is determined in the final search range and marked as an execution position; re-determining an execution position according to an execution correlation function based on the final search range; and controlling the hydraulic servo system to move to the execution position by utilizing the super-spiral sliding mode controller based on the execution position. The position control performance of the hydraulic servo system is improved.
The invention relates to the technical field of power system detection and protection, and discloses a fault detection and protection method, system and device based on a high-voltage direct-current power transmissionsystem. The method comprises the following steps: according to a sampling frequency # imgabs0 #, respectively collecting the current at the head end and the tail end of the DC filter to obtain a head end current sequence and a tail end current sequence; multiplying the head end current and the tail end current collected at the same moment to obtain a judgment sequence; according to the time window length T, determining that the total data number of the judgment sequence in the time window length T is NT and the total point number smaller than 0 is N1, and determining that the percentage of the total point number N1 in the total data number NT is K; and determining the fault type according to the percentage K and the setting value Kset. According to the method, the fault of the power transmission line can be monitored in real time, when the fault occurs, the current synchronization at the head end and the tail end of the direct current filter changes, the fault type can be quickly judged, and the efficiency and the accuracy of judging the fault type are effectively improved.
The present invention relates to a ramp merging control system based on map signals, comprising a map signal module for obtaining a real-time vehicle position and ramp merging conditions; a driver intention self-learning module for judging the driver's ramp merging operation intention and obtaining a self-learning weighted coefficient; a merging acceleration execution coefficient calculation module for activating a ramp merging acceleration instruction; and a merging acceleration execution module for executing a ramp merging acceleration instruction. The present invention also relates to a ramp merging control method based on map signals, comprising the steps of: issuing a ramp merging control instruction; calculating a ramp merging execution coefficient; activating a ramp merging acceleration function instruction; and executing acceleration management. The present invention has a wide range of applications, low cost, and great customer benefits; effectively avoids lane congestion and traffic accidents caused by slow driving; improves driving experience, and further reduces accident rates and traffic jam rates; reduces calibration work, and provides customized strategy services for different people and vehicles.