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Robust pole assignment using velocity-acceleration feedback for second-order dynamical systems with singular mass
1Department of Mechanical Engineering, Faculty of Engineering, Helwan University, 11792 Helwan, Cairo, Egypt.
ISA Transactions
|March 1, 2015
Summary
This study presents a robust pole assignment method using velocity and acceleration feedback for second-order systems. The approach enhances system robustness and is applicable to singular mass matrices.
Area of Science:
- Control Systems Engineering
- Linear System Dynamics
- Robust Control Theory
Background:
- Second-order linear systems with singular mass matrices present unique control challenges.
- Traditional pole assignment methods may not be directly applicable or optimal for these systems.
- Velocity and acceleration feedback offer advantages in practical applications due to signal availability.
Purpose of the Study:
- To develop a robust pole assignment method for second-order linear systems with singular mass matrices.
- To utilize combined velocity and acceleration feedback for improved system performance and robustness.
- To provide explicit parametric solutions and computational algorithms for practical implementation.
Main Methods:
- Derivation of explicit parametric expressions for the feedback gain controller and eigenvector matrix.
- Utilizing the degrees of freedom in velocity-acceleration feedback for eigenvector selection.
- Development of straightforward computational algorithms applicable to singular and nonsingular mass matrices.
Main Results:
- Explicit parametric solutions for robust pole assignment were successfully derived.
- The proposed method effectively improves the robustness of closed-loop systems.
- Computational algorithms were demonstrated to be effective for systems with singular or nonsingular mass matrices.
Conclusions:
- The combined velocity and acceleration feedback approach offers a robust solution for pole assignment in second-order systems with singular mass matrices.
- The derived parametric expressions and algorithms provide a practical and effective method for control system design.
- This approach enhances the applicability of control strategies in real-world engineering problems.
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