![]() In: ISIE 2001, 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. Moon, Y.H., Ryu, H.S., Lee, J.G., Kim, S: Power system load frequency control using noise-tolerable PID feedback. Series Title: Lecture Notes in Computer Science. In: Artificial Intelligence and Soft Computing, vol. 7267, pp. Szlachetko, B., Lower, M.: Stabilisation and steering of quadrocopters using fuzzy logic regulators. ![]() Technologies and Applications, vol. 7653, pp. In: Computational Collective Intelligence. Szlachetko, B., Lower, M.: On Quadrotor Navigation Using Fuzzy Logic Regulators. Shamsuzzoha, M., Lee, M.: Analytical design of enhanced PID filter controller for integrating and first order unstable processes with time delay. Sekara, T.B., Matausek, M.R.: Optimization of PID controller based on maximization of the proportional gain under constraints on robustness and sensitivity to measurement noise. Segovia, V.R., Hägglund, T., Åström, K.: Measurement noise filtering for PID controllers. Schreiber, T., Grassberger, P.: A simple noise-reduction method for real data. In: 2015 IEEE International Conference on Mechatronics and Automation (ICMA), pp. Nguyen Duc, M., Trong, T.N., Xuan, Y.S.: The quadrotor MAV system using PID control. Micić, A.D., Mataušek, M.R.: Optimization of PID controller with higher-order noise filter. In: 5th International Conference on Intelligent Systems Design and Applications (ISDA 2005), pp. Lower, M., Szlachetko, B., Krol, D.: Fuzzy flight control system for helicopter intelligence in hover. 2nd IFAC Conference on Advances in PID Control Larsson, P., Hägglund, T.: Comparison between robust PID and predictive PI controllers with constrained control signal noise sensitivity. In: Proceedings of the 2011 American Control Conference, pp. Larsson, P., Hägglund, T.: Control signal constraints and filter order selection for PI and PID controllers. Kristiansson, B., Lennartson, B.: Evaluation and simple tuning of PID controllers with high-frequency robustness. ![]() In: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. Keywordsīouabdallah, S., Noth, A., Siegwart, R.: PID vs LQ control techniques applied to an indoor micro quadrotor. The obtained results showed that the proposed solution introduces lower signal delays at the similar filtration range. The proposed filter was compared with the traditional known solutions. The goal of filtration is to eliminate disturbances while minimizing measurement signals delays. In this filter, the values of the parameter of the PI controller are automatically changed based on the assessment of external factors. The paper proposes a low-pass filter based on PI controller in closed-loop feedback. Such a problem was observed in flight stabilization system of the multi-rotor UAV. In control of dynamic systems, the delay of the measurement signal may cause the system destabilization. However, these filters introduce a delay in the measurement signal. Low-pass filters are used to eliminate high-frequency disturbances. High frequency disturbances are one of the most common problem. Too high disturbance of the measurement signal may destabilize the control system. The reliability of the automatic control system is based on its stable operation in the operating space of the system. Real measurements are always affected by disturbances and an accuracy of measurements is within a certain range. The quality of the measurement signal is often the basis for the reliable operation of the automatic control system.
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