Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot

Velocity tracking is one of the important objectives of vehicle, machines and mobile robots. A two wheeled inverted pendulum (TWIP) is a class of mobile robot that is open loop unstable with high nonlinearities which makes it difficult to control its velocity because of its nature of pitch falling if left unattended. In this work, three soft computing techniques were proposed to track a desired velocity of the TWIP. Fuzzy Logic Control (FLC), Neural Network Inverse Model control (NN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) were designed and simulated on the TWIP model. All the three controllers have shown practically good performance in tracking the desired speed and keeping the robot in upright position and ANFIS has shown slightly better performance than FLC, while NN consumes more energy

Advanced Strategies for Robot Manipulators

Amongst the robotic systems, robot manipulators have proven themselves to be of increasing importance and are widely adopted to substitute for human in repetitive and/or hazardous tasks. Modern manipulators are designed complicatedly and need to do more precise, crucial and critical tasks. So, the simple traditional control methods cannot be efficient, and advanced control strategies with considering special constraints are needed to establish. In spite of the fact that groundbreaking researches have been carried out in this realm until now, there are still many novel aspects which have to be explored

Climbing and Walking Robots

Nowadays robotics is one of the most dynamic fields of scientific researches. The shift of robotics researches from manufacturing to services applications is clear. During the last decades interest in studying climbing and walking robots has been increased. This increasing interest has been in many areas that most important ones of them are: mechanics, electronics, medical engineering, cybernetics, controls, and computers. Today’s climbing and walking robots are a combination of manipulative, perceptive, communicative, and cognitive abilities and they are capable of performing many tasks in industrial and non- industrial environments. Surveillance, planetary exploration, emergence rescue operations, reconnaissance, petrochemical applications, construction, entertainment, personal services, intervention in severe environments, transportation, medical and etc are some applications from a very diverse application fields of climbing and walking robots. By great progress in this area of robotics it is anticipated that next generation climbing and walking robots will enhance lives and will change the way the human works, thinks and makes decisions. This book presents the state of the art achievments, recent developments, applications and future challenges of climbing and walking robots. These are presented in 24 chapters by authors throughtot the world The book serves as a reference especially for the researchers who are interested in mobile robots. It also is useful for industrial engineers and graduate students in advanced study

The System Design and Implementation of a Two-Wheeled Self-Balancing and Motion Control

随着社会的发展和科技的进步，移动机器人的应用领域愈发广泛，机器人面临的工作环境和任务需求也变得复杂多样，人们对它的要求和期待也越来越高。两轮自平衡机器人以其结构简单、运动灵活、占地空间小等优点受到了人们的重视，成为移动机器人研究领域的一个重要分支。 本文设计了一台重心位于轮轴下方的非载人两轮自平衡机器人基础运动平台。采用两轮同轴独立驱动，在运动过程中能较好地保持平衡。同时，在该运动平台上，设计实现具有一定载荷能力的稳定平台，用来搭载稳定性要求更高的设备。 本文的主要工作如下： 首先，以两轮机器人系统为研究对象，采用牛顿力学法建立系统动力学模型，将模型进行线性化处理，同时实现解耦，并对解耦...With the development of the society and the progress of science and technology, the mobile robots have been in various field, but the working environment and mission requirements also become complicated, which determines the classification of robots has been increasingly refined to meet different needs. The requirements and expectations of the people on the robots are also getting higher and highe...学位：工程硕士院系专业：航空航天学院_工程硕士(控制工程)学号：2322013115337