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AV94a控制模块具有高精度快速响应和低能耗ABBAV94a控制模块是整个自动驾驶软件系统中的执行环节,其目标是根据规划模块输出的目标轨迹和定位模块输出的车辆状
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ABB AV94a 控制模块是整个自动驾驶软件系统中的执行环节,其目标是根据规划模块输出的目标轨迹和定位模块输出的车辆状态生成方向盘、油门、刹车控制命令,并通过canbus模块给车辆底层执行器。
控制模块由横向控制模块和纵向控制模块组成。横向控制模块通过控制方向盘的转动来控制前轮的转向,从而控制汽车的行驶方向。
纵向控制模块通过控制油门和刹车的开度来控制车的纵向加减速。ABB AV94a 控制模块的特点主要包括以下几个方面:集成化:控制模块能够将多个控制功能集成到一个模块中,降低系统的复杂度和连接成本。多功能性:ABB AV94a 控制模块能够同时实现多种控制功能,包括温度、湿度、气压、流量、电压、电流等。高精度:控制模块通过高精度传感器和精确控制算法,能够实现精准的测量和控制。
可编程:ABB AV94a 控制模块具有可编程性,可以根据不同的应用需求进行编程和设置。智能化:控制模块可以通过智能算法和自学习来自动调整参数,达到更优的控制效果。
ABB AV94a control module is an execution link in the entire automatic driving software system. Its goal is to generate steering wheel, throttle and brake control commands according to the target trajectory output by the planning module and the vehicle state output by the positioning module, and send them to the bottom actuator of the vehicle through the canbus module.
The control module consists of horizontal control module and vertical control module. The lateral control module controls the steering of the front wheels by controlling the rotation of the steering wheel, thus controlling the driving direction of the car.
The longitudinal control module controls the longitudinal acceleration and deceleration of the vehicle by controlling the opening of the throttle and brake. The characteristics of ABB AV94a control module mainly include the following aspects: Integration: The control module can integrate multiple control functions into one module, reducing the complexity and connection cost of the system. Versatility: The ABB AV94a control module enables simultaneous control of multiple functions, including temperature, humidity, pressure, flow, voltage, and current. High precision: The control module can achieve accurate measurement and control through high-precision sensors and precise control algorithms.
Programmable: The ABB AV94a control module is programmable and can be programmed and set according to different application requirements. Intelligent: The control module can automatically adjust parameters through intelligent algorithms and self-learning to achieve better control effects.
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