In this study, a tuner-based Proportional-Integral-Derivative controller is proposed to actively control a smart beam. In numerical simulation environment, the performance of the tuner-based PID and a positive position feedback controller in damping the forced vibrations of a smart beam using a piezoelectric actuator are investigated. The finite element method is used to numerically model the smart beam by exporting the state-space matrices that are characterized with regard to the active vibration control loop. Two types of vibration data with sine tones are comprised in order to stimulate behavior of the proposed system. The first one is the composition of the first and second natural frequencies of smart beam. The second one is the composition of the first to the third natural frequencies of smart beam. In the tuner-based PID, controller design tuner toolbox is used to obtain suitable PID coefficients. In this simulation environment active vibration control based on the proposed tuner-based PID and on positive position feedback controllers is studied and compared. Additionally, the controller power consumption levels are determined for the proposed controller design. Numerical results show that the overall tuner-based PID control performance of flexible smart beam system is more effective than the positive position feedback controlled system for forced vibration control. Also, the tuner-based PID controller provides more energy savings than the positive position feedback controller.

This research is aimed at developing a multi-body simulation model and balancing control of a single-wheeled inverted pendulum. A virtual prototype of the system has been built by using Adams software and it is simulated in both Matlab and Adams software together. The Adams model has two inputs (disturbance and control) and two outputs (pendulum angle and wheel position). Proportional-integral-derivative (PID) controller is designed and applied for balancing control and simulation of pendulum angle. The modelling and control results show that the Proportional-integral-derivative (PID) controller can successfully achieve balancing control of the single-wheeled inverted pendulum. Also this paper can make an important contribution to background of two-wheeled robots, self-balancing transportation devices.

This paper presents the trajectory tracking control of a two-link planar robot manipulator using MSC Adams and MATLAB co-simulation which enables the innovative virtual prototyping of the systems without any mathematical expressions. Firstly, the tracking control performance of the planar manipulator is investigated using the Sliding Mode Control (SMC) controller and the Proportional Integral Derivative (PID) controller in terms of the performance analysis. As a result, the SMC demonstrates effective control performances compared to the PID controller according to the required trajectory, settling time, and end position of the system. Then, the SMC controller parameters are determined using the different optimization methods offered as open source by MATLAB/Response Optimization Toolbox and compared to each other. In the virtual co-simulation, the trajectory tracking control performance is observed to be improved by optimizing the parameters of the SMC controller using Simplex Search (SS) method. All control results are examined and presented with graphics and international error standards.

Active vibration control approaches are focused on unwanted vibration that cannot be reduced by passive control devices. However, they are hard to apply to vibration-induced structures, especially aerodynamic structures, which are subjected to variable-frequency disturbances. This work includes a new adaptive positive position feedback (PPF) controller methodology using a traditional compensator and an adaptive compensator responsible for variable-frequency disturbances to investigate the effectiveness of the proposed design. A UH1H helicopter auxiliary cargo door equipped with piezoelectric patches and strain gauges was used in the laboratory environment as an implementation of Technology Readiness Levels 4 and 5 to implement of proposed controller methodology. Some challenges affect the traditional PFF controller performance, and the most important one is that independent vibration can occur on structures distinct from the natural frequencies. For overcoming this, two second-order compensators are used to enhance the controller performance; one targets previously determined natural frequencies by experimental modal analysis, and the other targets dominant frequencies obtained from simultaneous measurement. The suggested controller performance was investigated under operationally obtained vibration excitation, and this methodology provides a significant vibration reduction against variable conditions in the laboratory experiments.

This study investigates the effectiveness of vibration modes on the Positive Position Feedback (PPF) controller designed for vibration reduction. To achieve this, a numerical model of the UH1H helicopter’s auxiliary cargo door, previously used as a test setup, is employed. The state-space models of the system are derived by considering three, five, and ten modes of the structure. Optimized PPF controllers are applied to these models, and their performances are systematically compared. Key findings reveal that control performance decreases with an increasing number of modes, with vibration reduction percentages averaging 70.74% for the 3-mode model, 55.88% for the 5-mode model, and 43.68% for the 10-mode model. These results underscore the impact of modal complexity on controller efficacy, highlighting the necessity of simplifying modal configurations for effective vibration control. The study provides critical insights into the design and application of active vibration control systems in aerospace engineering.