High-precision position control of a heavy-lift manipulator in a dynamic environment

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, June 2005."June 2005."Includes bibliographical references (leaves 81-83).This thesis considers the control of a heavy-lift serial manipulator operating on the deck of a large ocean vessel. This application presents a unique challenge for high- precision control because the system must contend with both high levels of joint friction and oscillatory motions in the manipulator's base. Due to the uncontrolled outdoor environment, the behavior of these disturbances in the field cannot be accurately predicted using models developed offline. To achieve high-precision control, the system must therefore be capable of effectively estimating and compensating for these disturbances online. This thesis presents the design of a position control system to allow high-precision control of the manipulator's payload by a human user. The design features a standard decentralized linear control architecture augmented by a combination of adaptive and sensor-based techniques to estimate and compensate for base-motions and joint friction. A procedure is also suggested by which a parametric friction model can be extracted from adaptive estimates recorded over a period of time. This extracted model can be used to temporarily replace the adaptive estimation in compensating for joint friction when the manipulator is in contact with the environment. Performance of the control methods developed here are evaluated using simulation studies conducted with a high-fidelity dynamic model of the mechanical system. These studies demonstrate the tracking capability of the control system for various representative tasks.by Justin R. Garretson.S.M

The design of a control architecture for a heavy-lift precision manipulator for use in contact with the environment

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006."June 2006."Includes bibliographical references (leaves 117-121).Robotic manipulators can be used to enhance the strength and dexterity of a human user. This thesis considers the design of a controller for a heavy-lift manipulator for lifting and inserting payloads onto aircraft on the deck of a ship. The purpose of this robot is to reduce manpower requirements aboard the ship, and reduce the physical requirements for the individuals loading the payloads onto an aircraft. This particular application presents several control challenges, including structural resonances, complex interaction with the environment, high joint friction that varies over time, tight tolerances for the insertion tasks, and ship motions. This thesis builds upon previous works by Garretson [17] and DiCicco [9] by further developing an insertion control mode for intuitive human interaction with the payload of the manipulator when in contact with the environment. These control algorithms, as well as those developed in the previous work, are also validated on a laboratory manipulator. This thesis contains a detailed description of the control architecture for the heavy lift manipulator, including the insertion control mode and a position control mode for use when the manipulator is not in contact with the environment. Both architectures are validated with dynamic simulation models.(cont.) The position control response of this manipulator is shown to be improved with the implementation of friction compensation. In some joints, outputs from an adaptive friction estimator are used to make feed-forward models of friction for use during environmental contact. The position and insertion controllers are then evaluated under open-loop and human control on a laboratory manipulator.by William T. Becker, III.S.M

Stability and robustness of adaptive controllers for underactuated Lagrangian systems and robotic networks

This dissertation studies the stability and robustness of an adaptive control framework for underactuated Lagrangian systems and robotic networks. In particular, an adaptive control framework is designed for a manipulator, which operates on an underactuated dynamic platform. The framework promotes the use of a filter in the control input to improve the system robustness. The characteristics of the controller are represented by two decoupled indicators. First, the adaptation gain determines the rate of adaptation, as well as the deviation between the adaptive control system and a nonadaptive reference system governing the ideal response. Second, the filter bandwidth determines the tracking performance, as well as the system robustness. The ability of the control scheme to tolerate time delay in the control loop, which is an indicator of robustness, is explored using numerical simulations, estimation of the time-delay margin of an equivalent linear, time-invariant system, and parameter continuation for Hopf bifurcation analysis. This dissertation also performs theoretical study of the delay robustness of the control framework. The analysis shows that the controller has a positive lower bound for the time-delay margin by exploring a number of properties of delay systems, especially the continuity of their solutions in the delay, uniformly in time. In particular, if the input delay is below the lower bound, then the state and control input of the closed-loop system follow those of a nonadaptive, robust reference system closely. A method for computing the lower bound for the delay robustness using a Pad\'{e} approximant is proposed. The results show that the minimum delay that destabilizes the system, which may also be estimated by forward simulation, is always larger than the value computed by the proposed method. The control framework is extended to the synchronization and consensus of networked manipulators operating on an underactuated dynamic platform in the presence of communication delays. The theoretical analysis based on input-output maps of functional differential equations shows that the adaptive control system's behavior matches closely that of a nonadaptive reference system. The tracking-synchronization objective is achieved despite the effects of communication delays and unknown dynamics of the platform. When there is no desired trajectory common to the networked manipulators, a modified controller drives all robots to a consensus configuration. A further modification is proposed that allows for the control of the constant and time-varying consensus values using a leader-follower scheme. Simulation results illustrate the performance of the proposed control algorithms