time optimal steering

简明释义

最短时间操舵

英英释义

例句

1.The simulation showed that time optimal steering significantly reduced the time needed to reach the destination.

模拟显示，时间最优控制显著减少了到达目的地所需的时间。

2.Engineers applied time optimal steering techniques to improve the performance of drone flight paths.

工程师应用时间最优控制技术来改善无人机飞行路径的性能。

3.Using time optimal steering, the ship was able to avoid obstacles while maintaining speed.

利用时间最优控制，船只能够在保持速度的同时避开障碍物。

4.In autonomous vehicles, time optimal steering is crucial for navigating complex traffic situations efficiently.

在自动驾驶汽车中，时间最优控制对有效导航复杂交通情况至关重要。

5.The robotic arm was programmed for time optimal steering to minimize the duration of its tasks.

机器人手臂被编程为时间最优控制，以最小化任务持续时间。

作文

In the realm of control systems and robotics, the concept of time optimal steering plays a crucial role in enhancing the efficiency and effectiveness of movement. This term refers to the strategy of navigating a vehicle or robotic system from one point to another in the shortest possible time while adhering to various constraints such as speed limits, acceleration, and safety measures. The significance of time optimal steering lies in its application across numerous fields, including autonomous vehicles, aerospace engineering, and even space exploration. To understand time optimal steering, one must first appreciate the fundamental principles of motion and control. When a vehicle is in motion, it must consider its current state, including position, velocity, and acceleration. The objective of time optimal steering is to manipulate these parameters in such a way that the vehicle reaches its destination rapidly without compromising safety or performance. This often involves complex mathematical modeling and real-time calculations to determine the best trajectory.For instance, in the context of autonomous driving, a self-driving car must constantly assess its environment, including obstacles, traffic signals, and other vehicles. By employing time optimal steering algorithms, the car can make quick decisions about when to accelerate, brake, or change lanes, ensuring that it arrives at its destination as quickly as possible while maintaining safety. This is particularly important in urban environments where traffic conditions can change rapidly.Moreover, time optimal steering is not limited to ground vehicles. In aerospace applications, optimizing the flight path of an aircraft involves similar principles. Pilots and automated systems must calculate the most efficient route, taking into account factors such as wind patterns, fuel consumption, and air traffic control regulations. By applying time optimal steering techniques, they can minimize flight time and maximize fuel efficiency, which is crucial for both economic and environmental reasons.The concept also extends to robotics, where robots are often required to perform tasks in dynamic environments. For example, a robotic arm in a manufacturing setting may need to pick and place items quickly while avoiding collisions with other machinery. Implementing time optimal steering strategies allows the robot to execute its tasks more efficiently, thereby increasing productivity and reducing operational costs.Despite its advantages, achieving time optimal steering is not without challenges. The need for real-time data processing and the complexity of dynamic environments can complicate the decision-making process. Additionally, safety concerns must always be prioritized, as the fastest route is not always the safest. Therefore, engineers and researchers continuously work on improving algorithms and technologies that enable effective time optimal steering while ensuring safety and reliability.In conclusion, time optimal steering is a vital concept in various fields that focus on enhancing efficiency and performance in navigation and control systems. As technology continues to evolve, the importance of optimizing movement in terms of time will only grow, making time optimal steering an area of ongoing research and development. Its applications in autonomous vehicles, aerospace, and robotics highlight its significance, demonstrating how the integration of advanced algorithms and real-time data can lead to safer and more efficient transportation and operational systems.

在控制系统和机器人领域，时间最优转向的概念在提高运动的效率和有效性方面发挥着至关重要的作用。这个术语指的是在遵循各种约束条件（如速度限制、加速度和安全措施）的同时，以尽可能短的时间将车辆或机器人系统从一个点导航到另一个点的策略。时间最优转向的重要性体现在它在多个领域的应用，包括自主车辆、航空工程，甚至太空探索。要理解时间最优转向，首先必须欣赏运动和控制的基本原理。当一辆车在运动时，它必须考虑其当前状态，包括位置、速度和加速度。时间最优转向的目标是操纵这些参数，使车辆迅速到达目的地，而不妥协安全或性能。这通常涉及复杂的数学建模和实时计算，以确定最佳轨迹。例如，在自主驾驶的背景下，一辆自动驾驶汽车必须不断评估其环境，包括障碍物、交通信号和其他车辆。通过采用时间最优转向算法，汽车可以迅速决定何时加速、刹车或变换车道，确保它以最快的速度到达目的地，同时保持安全。这在城市环境中尤为重要，因为交通状况可能会迅速变化。此外，时间最优转向不仅限于地面车辆。在航空应用中，优化飞行器的飞行路径涉及类似的原则。飞行员和自动化系统必须计算出最有效的航线，同时考虑风速、燃料消耗和空中交通管制规定等因素。通过应用时间最优转向技术，他们可以最小化飞行时间并最大化燃料效率，这对于经济和环境原因至关重要。这一概念还扩展到机器人领域，其中机器人经常需要在动态环境中执行任务。例如，制造环境中的机械臂可能需要快速拾取和放置物品，同时避免与其他机器发生碰撞。实施时间最优转向策略使机器人能够更高效地执行任务，从而提高生产力并降低运营成本。尽管有其优势，实现时间最优转向并非没有挑战。实时数据处理的需求以及动态环境的复杂性可能会使决策过程复杂化。此外，安全问题始终必须优先考虑，因为最快的路线不一定是最安全的。因此，工程师和研究人员不断致力于改进算法和技术，使得有效的时间最优转向成为可能，同时确保安全和可靠性。总之，时间最优转向是一个在多个领域中至关重要的概念，专注于提高导航和控制系统的效率和性能。随着技术的不断发展，优化运动时间的重要性只会增加，使得时间最优转向成为一个持续研究和发展的领域。它在自主车辆、航空和机器人中的应用突显了其重要性，展示了先进算法和实时数据集成如何导致更安全、更高效的运输和操作系统。