Abstract:
The present invention discloses an apparatus and method for patrol-inspection of a rigid cage channel. The patrol-inspection apparatus comprises a moving member, a transmission member, a driving member, a guide member, and a housing on a main bottom plate. The driving member comprises a tilt sensor and a pressure sensor connected to a microcontroller, the microcontroller is connected to a driver, the driver is connected to a brushless DC motor, and an output shaft of the brushless DC motor is provided with an optical encoder connected to the driver; The moving member comprises a driving output shaft and a driven output shaft, wheel flanges on the driving output shaft and the driven output shaft are each connected with a wheel hub, a permanent magnet is provided in the wheel hub, and a rubber skin is provided on the outer side of the wheel hub; The transmission member comprises a worm connected with the output shaft of the brushless DC motor, a worm wheel on the driving output shaft and meshed with the worm, timing pulleys on the driving output shaft and the driven output shaft, and a timing belt wound on the timing pulleys. The guide member comprises a guide wheel. The present invention increases inspection speed of the rigid cage channel and improves indirectly the production efficiency of the coal mine enterprise.
Abstract:
The present invention discloses a wireless sensor node with a hierarchical protection structure, including a node hardware circuit and a node hierarchical protection structure. The node hardware circuit includes a sensor module, a data processor module and a wireless communication module, and the node hierarchical protection structure includes a primary sealed protection structure and a secondary strengthened protection structure; the primary sealed protection structure includes an ABS spherical inner shell; the data processor module and the wireless communication module are disposed in the ABS spherical inner shell; gaps in the ABS spherical inner shell are filled with EPE cushioning foam; a flame-retardant and thermal-insulating layer made of a nanometer aerogel insulation blanket is covered on the outside of the ABS spherical inner shell; the secondary strengthened protection structure includes a spherical nylon outer shell with vent holes; the spherical nylon outer shell and the ABS spherical inner shell are connected with each other through support of rubber dampers; and the sensor module is disposed in the spherical nylon outer shell. The node according to the present invention can be deployed by ejection, is highly adaptive to catastrophes, can acquire environmental information effectively, and has relatively low costs.
Abstract:
A braking torque closed-loop control system and method for a switch reluctance motor. The closed-loop control system comprises a torque regulator, a mode selector, a current regulator, an angle optimization controller and a torque estimator. On the basis of the rotating speed of the motor, the mode selector implements a phase current soft chopper control in a low rotating speed region and an angle position control in a high rotating speed region. The current regulator performs soft chopper hysteretic current regulation. The angle optimization controller optimizes a turn-on angle and a turn-off angle of a power converter master switch to reduce torque pulsation and improve braking energy feedback efficiency. The torque estimator conducts an on-line estimation of an actual braking torque estimated value of the motor based on an actual phase voltage and current of the motor to achieve braking torque signal feedback.
Abstract:
A method for creating a switch reluctance motor memory sensor model. A switch reluctance motor memory sensor circuit model is formed by two current transmitters AD844, an operational amplifier AD826, a memristor, a capacitor, and three resistors. The method for creating a switch reluctance motor memory sensor model enables physical phenomena in a simulation system to be similar to an actual switch reluctance motor system, and is beneficial for direct mathematical simulation of a switch reluctance motor system. The method is simple, can improve static and dynamic performance of a system, and achieves real-time simulation and real-time control of the switch reluctance motor system.
Abstract:
A phase current integration method for diagnosing a fault in a switched reluctance motor power converter determines whether the main switch of a switched reluctance motor power converter is experiencing a short circuit or an open circuit fault by measuring a phase current io(t) transient value of said converter in a non-fault state as well as a present phase current i(t) transient value of said converter, so as to obtain, by an integration operation, an integration value SnO of a phase current during a certain period under the non-fault state, and an integration value Sn of a phase current during a certain period under a present state, the ratio En of the two values indicating a fault characteristic value.
Abstract:
A fault diagnosing method based on standard deviation of detail coefficients for the power converter of a switched reluctance motor, operates by detecting the transient value of phase current in the power converter of a switched reluctance motor, the standard deviation of detail coefficients a is calculated and is taken as a fault characteristic quantity, and then whether there is a short circuit fault in the main switch of the power converter of the switched reluctance motor is diagnosed with a curve of standard deviation of detail coefficients a of phase current in the power converter of the switched reluctance motor in the entire range of rotation speed or in the entire range of torque. The method is applicable to the power converter of a switched reluctance motor with any topological structure, with any number of phases, can diagnose short circuit faults accurately, and has a great value in engineering application.
Abstract:
A switched reluctance motor modeling method, which is applicable to switched reluctance motors of various phase numbers. A variable resistor (RMp) formed by four operational amplifiers (U1, U2, U3, U4), three current conveyors (U5, U6, U7), a digital potentiometer and a digital controller, eight resistors (R1, R2, R3, R4, R5, Ro, Rx, Rs) and a capacitor (C) are adopted to form a switched reluctance motor phase winding equivalent model. The modeling method is simple, can realize system mathematic direct simulation for switched reluctance motors, and is capable of simulating and controlling in real time.
Abstract:
A fault-tolerant control method for a position sensor of a switched reluctance motor, if the position sensor of the switched reluctance motor runs without a fault, detecting, in real time, four equal-interval or equal-angle continuous edge pulses of an output signal of the position sensor, the fourth edge pulse being the current edge pulse, and detecting time intervals (T1, T2, T3) between each two adjacent edge pulses sequentially, thereby calculating a time interval (T4) between the current edge pulse and a next edge pulse following the current edge pulse. If the position sensor of the switched reluctance motor fails, and the next edge pulse following the current edge pulse is lost, reconstructing the next edge pulse after the interval time (T4) of the current edge pulse of the output signal of the position sensor. The method can be used, when one or more position sensors of a rotatory and linear switched reluctance motor having various phases and various topology structures fail, to reconstruct an edge pulse after lost.
Abstract:
A method for evaluation of switched reluctance motor system reliability through quantitative analysis of a three-level Markov model. Through analysis of the operating condition of switched reluctance motor drive system under first-level faults, second-level faults and third-level faults, 4 valid states and 1 invalid state under first-level faults, 14 valid states and 4 invalid states under second-level faults, and 43 valid states and 14 invalid states under third-level faults are obtained. If initial normal state and final invalid state are also considered, a three-level Markov model will have 62 valid states and 20 invalid states in total. A state transition diagram of the switched reluctance motor drive system under three-level faults is established, a state transition matrix is obtained, a probability matrix of the system in valid states is attained, the sum of all elements of the probability matrix is calculated, and MTTF is obtained from a reliability function.
Abstract:
A switch reluctance motor wide speed-regulation range cross-control method, the switch reluctance motor wide speed-regulation range control system consisting of a revolving speed regulator, a current chopper controller, an angle position controller, a chopper counter, a comparison selector and two resettable constant registers; the chopper counter counts the current chopping number of each electrical period, and according to the comparison result between a counting value of the chopper counter and a constant value set by the two constant registers, the comparison selector selects the current chopper controller or the angle positon controller, such that when in the three phases of low revolving speed, medium revolving speed and high revolving speed or in the runtime of acceleration, deceleration and uniform velocity, the current chopper controller and the angle positon controller can automatically switch, and seamlessly connect without being affected by load change, and switching from a turn-on angle to a turn-off angle will not cause fluctuation of torque or revolving speed of a switch reluctance motor, thus the switch reluctance motor system runs stably and has good value for engineering application.