CJT Home, Engineering Department, Faculty of Science & Technology, Lancaster University, Lancaster, UK.
Lancaster University, Doctor of Philosophy, 2015
Supervisor: C.J. Taylor
With rapid start and stop, fast responses in general, and large torque-to-weight ratios, mobile hydraulic robots are suitable for many applications. They are commonly employed by the construction, mining and nuclear industries, where semi-automatic control systems are being adopted as a means of improving the efficiency, quality and safety of operations. However, one challenge for system developers is the achievement of fast, accurate movement of manipulators under automatic control. The problem is made difficult by a range of factors that include highly varying loads, speeds and geometries.
This thesis investigates the low-level joint angle control problem for a previously developed dual-arm robotic platform, namely a Brokk-40 demolition robot with caterpillar tracks, to which two seven-function HydroLek-7W robotic manipulators have been attached. The research focuses on two model-based control design methods, namely linear and nonlinear Non-Minimal State Space (NMSS) design. In the nonlinear case, the thesis develops and evaluates state-dependent parameter (SDP) control systems, in which the state-dependent variable is a delayed voltage input associated with the time-varying system gain.
In this regard, the thesis evaluates both a simple scheduled approach, in which the standard linear control problem is solved at each sampling instant, and a recently developed cancellation-based pole assignment method. To the authors' knowledge, this represents the first practical implementation of the latter approach. In this thesis, the algorithm is first adapted into a simpler regulator form which is found to have improved robustness (for the present application). More generally, closed-loop experimental data shows that the new SDP design more closely follows the joint angle commands than an equivalent linear algorithm, offering improved resolved motion.
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