An adaptive heading control method for single-jet pump-propelled unmanned surface vehicle based on fuzzy state observer
A technology of fuzzy state and heading control, applied in two-dimensional position/course control, control/regulation system, non-electric variable control, etc., can solve the problems of practical application difficulties, without considering the working characteristics of the propulsion device, etc., and achieve the elimination of time Lag effect
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Embodiment 1
[0040] A fuzzy state observer-based method for self-adaptive heading control of a single-jet pump-propelled unmanned surface vehicle, characterized in that:
[0041] (1) Obtain the motion status information of the unmanned surface vehicle:
[0042] (1.1) Receive data information output by motion sensors such as position sensors and attitude sensors through the serial port;
[0043] (1.2) According to the communication protocol of the corresponding sensor, the received data string is verified and decoded to obtain the current position coordinates, speed, heading angle, attitude angle and other motion state information of the unmanned surface vehicle;
[0044] (1.3) Use the low-order polynomial sliding fitting method to judge the above-mentioned motion state information and eliminate the outliers; in order to avoid the outlier reverse transmission and mistakenly judge the normal value as an outlier, choose the seven-point second-order forward differential calculation formula,
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Embodiment 2
[0072] A method for self-adaptive course control of single-jet pump propelled unmanned surface craft based on fuzzy state observer proposed by the present invention, such as figure 1 As shown, the specific steps are as follows:
[0073] Step 1: Obtain the motion status information of the unmanned surface vehicle.
[0074] (1.1) Receive data information output by motion sensors such as position sensors and attitude sensors through the serial port.
[0075] (1.2) According to the communication protocol of the corresponding sensor, the received data string is verified and decoded to obtain the current position coordinates, speed, heading angle, attitude angle and other motion state information of the unmanned surface vehicle.
[0076] (1.3) Identify, eliminate and correct the outliers that may exist in the above raw data. The polynomial fitting method is used to judge the above motion state information and eliminate outliers. In order to eliminate the shortcoming of new outlie...
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