03694ntm a2200337 i 4500 MY-KuUP 20260407130142.0 t||||fr|||| 000 0 ta 260407t20252025my a|||fr|||| 000 0 eng d THE0010441 (Local) Hardback UMPSA eng UMPSA rda FTKEE .A94 2025 r Thesis Mohd Iskandar Putra Bin Azahar, author. Improved prescribed performance control for dynamic motion of a pneumatic gripper robot / Mohd Iskandar Putra Bin Azahar Kuantan, Pahang : UMPSA, © 2025 © 2025 xx, 163 pages ; illustrations ; 30 cm. + 1 CD-ROM. rdacontent text rdamedia unmediated rdacarrier volume rda text file PDF Faculty of Electrical and Electronics Engineering Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang - 2025 Includes bibliographical references Pneumatic robots offer significant advantages in compliance, power-to-weight ratio, and speed, but their use is hindered by significant control challenges. The inherent nonlinearities from air compressibility, stiction, and friction, combined with unmodeled system uncertainties and sudden external disturbances, cause conventional model-free control methods (like standard PID) to struggle. This results in poor tracking performance, oscillations, and instability, particularly during dynamic tasks. This research addresses this gap by proposing and validating the progression of adaptive Prescribed Performance Control (PPC) methods. These methods are integrated with a PID inner-loop to guarantee high performance for a tri-pneumatic grasper (TPG) robot without requiring a complex system model. The methodology first addresses finger positioning by developing a Finite-Time PPC (FT-PPC), which solves the asymptotic convergence of conventional PPC, enabling user-defined settling times. For the more dynamic task of pressure regulation, a Variable Convergence Rate PPC (VCRPPC) is introduced to provide a more flexible and aggressive adaptive control envelope. Finally, to ensure safe physical interaction, a Dynamic Error PPC (DEPPC) is formulated to solve the critical problem of control singularity, incorporating a pressure-based force estimator to robustly manage external forces. Experimental results from the physical TPG testbed validate the efficacy of each proposed controller in its specific domain. The FT-PPC eliminated overshoot and achieved a 0.3-second settling time with a 49% improvement in rise time for positioning. The VCRPPC excelled in pressure regulation, demonstrating a 63% faster transient response and a 78% reduction in steady-state error. Most critically, the DEPPC proved robust for dynamic interaction, achieving an 84% faster rise time and a 78% reduction in tracking error under applied forces, all while successfully preventing the control singularity that caused other controllers to fail. In conclusion, this progressive development of adaptive PPC methods provides a significant contribution by demonstrating a clear pathway to achieving high-performance, guaranteed control for complex pneumatic systems. The proposed frameworks successfully enhance the TPG's static and dynamic control, improving response time, accuracy, and stability, proving their practical effectiveness for advanced pneumatic robotic challenges. Faculty of Electrical and Electronics Engineering Dissertations Universities and colleges Dissertations Theses Dissertations lcc THESIS 104643 104649