Release time: 2022-12-08 15:43:34Views:
Intelligent autonomous control of representative unmanned systems, such as unmanned aircraft, unmanned vehicles, unmanned ships and robots, is a current research hotspot in the field of automatic control and a core technology for improving the autonomy and intelligence of unmanned systems. Independent navigation technology utilizes the corresponding independent navigation system to obtain the position, velocity and attitude information of unmanned systems, which is the basic technical guarantee for realizing the intelligent independent control of unmanned systems. Among many navigation technologies such as radio navigation, terrain matching navigation, inertial navigation, satellite navigation, magnetic navigation, visual navigation, etc., the inertial navigation technology that does not rely on external information is the most powerful technical means to realize the independent navigation of unmanned systems.
Application of MEMS inertial navigation
MEMS inertial navigation technology is widely used in various unmanned systems such as unmanned aircraft, unmanned vehicles, unmanned ships, robots and other unmanned systems due to its small size, low power consumption, light weight, low cost and other characteristics.
1 UAV field
In recent years, small UAVs have played an increasingly important role in the military and civilian fields. In order to realize the positioning and localization of the UAV itself, the air attitude measurement and control system plays a crucial role. It is mainly composed of the aerial position measurement and control system GPS antenna, GPS by the receiving board, Jetlink magnetic sensor, inertial measurement unit, high airspeed sensor and regulation unit. The accuracy of the sensor directly determines the accuracy of the UAV position, and the data collected by the sensor calculates the attitude information of the UAV position through the navigation algorithm. At present, UAV navigation mainly adopts the combination of MEMS inertial navigation system and GPS not only to improve the system accuracy, but also to shorten the initial alignment time. The current UAV on the navigation system accuracy for consumer level, such as Invensense MP6500 accuracy of 2 ° / s, and with the MEMS with the improvement of the accuracy of the device and the reduction of the cost of the degree and cost.
2 The field of unmanned vehicles
Driverless cars sense the external environment through on-board sensors to obtain vehicle position, attitude information and obstacle information, so as to control the vehicle's speed, steering and starting and stopping. Currently, Google is conducting road experiments of driverless cars. When the unmanned car goes under the high floor, the GPS is blocked without ** The driverless car is equipped with an inertial navigation system that can meet the needs of the vehicle to move forward independently in a short period of time. The MEMS inertial navigation system on the unmanned vehicle is higher inertial navigation system.
3 Unmanned ship field
Due to the danger and high cost of using ordinary ship equipment for tasks such as border patrol and water quality exploration, unmanned ship technology is developing rapidly. Obtaining unmanned ship position attitude information is an important prerequisite for unmanned ships to work independently. Today, unmanned ships are mainly equipped with sensor GPS, MEMS inertial navigation system and obstacle avoidance radar. With the improvement of the accuracy of MEMS along with the inertial navigation system, the inertial navigation system plays a crucial role in the acquisition of unmanned ship position attitude information. Unmanned shipboard MEMS inertial navigation system, general consumption level of low and medium precision to meet the demand.
4 Robotics field
Mobile robot is an automated device that can work independently in a fixed or changing environment. In recent years, it is widely used in the service industry, household, industry and other fields. Through vision cameras, wheeled robots are similar to unmanned vehicles in application, and MEMS inertial sensors, LiDAR, odometers and other sensors collect navigation data. Domestic universities have also started to study wheeled robots earlier. In the navigation process of wheeled robots using inertial sensors and odometers, MEMS inertial sensors to provide accurate attitude angle, and due to wheel slippage on the inertial navigation and odometry, is now large is through the vision odometer and MEMS through the extension of the inertial navigation combination of navigation Kal ** n data integration using filtering algorithms, which improves the accuracy of the system.
5 Other areas
In addition to the above areas, MEMS inertial sensors are still in electronic devices such as cell phones, tablets, game consoles, cameras, VR for indoor positioning glasses and man-portable navigation. Currently, there is a general concern about the personal safety of firefighters fighting fires in tall buildings and elderly people with limited mobility at home. If this is the case MEMS if the inertial navigation system is placed on the detector for navigation, real-time positional attitude information can be obtained, thus improving the safety of the monitored device. The methods of indoor personnel localization using MEMS inertial navigation system are broadly as follows: one is to use MEMS accelerometers to detect and identify the pace state of the personnel, and then to detect the direction of movement of the personnel through magnetometers to locate the indoor personnel. Another method is to use two more MEMS inertial navigation systems mounted on the person's feet and waist, through multiple positions MEMS positioning inertial navigation system correction method.
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