tailieunhanh - Motion Control Theory Needed In The Implementation Of Practical Robotic Systems 2 Part 2

Tham khảo tài liệu 'motion control theory needed in the implementation of practical robotic systems 2 part 2', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Chapter 1 Introduction Chapter 1. Introduction Most research in robotics centers on the control and equations of motion for multiple link and multiple degree-of-freedom armed legged or propelled systems. A great amount of effort is expended to plot exacting paths for systems built from commercially available motors and motor controllers. Deficiencies in component and subsystem performance are often undetected until the device is well past the initial design stage. Another popular area of research is navigation through a world of known objects to a specified goal. An often overlooked research area is the navigation through an area without a goal such as local obstacles avoidance on the way to a global goal. The exception is smart highway systems where there is a lot of research in lane and line tracking. However more general applications such as off-road and marine navigation usually rely on less reliable methods such as potential field navigation. Part I presents the research necessary for the robotics designer to select the motor control component and develop the control system that will work for each actuator. It follows the path the robot developer must follow. Hardware and performance constraints will dictate the selection of the motor type. With this understanding environmental and load uncertainty will determine the appropriate control scheme. After the limitations of the available control schemes are understood the hardware choices must be revisited and two compromises must be made feedback quality v system cost and response v power budget. Part II presents the research necessary to develop a practical navigation system for an autonomous robotic vehicle. The most popular sensors and hardware are surveyed so that a designer can choose the appropriate information to gather from the world. The usual navigation strategies are discussed and a robust novel obstacle detection scheme based on the Laplacian of Gaussians is suggested as robust obstacle avoidance .

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