Second Order Integral Fuzzy Logic Control Based Rocket Tracking Control
DOI:
https://doi.org/10.18196/jrc.26142Keywords:
second order integral control, FCL, Ramp, ParabolicAbstract
Fuzzy logic is a logic that has a degree of membership in the vulnerable 0 to 1. Fuzzy logic is used to translate a quantity that is expressed using language. Fuzzy logic is used as a control system because this control process is relatively easy and flexible to design without involving complex mathematical models of the system to be controlled. The purpose of this paper is to present a fuzzy control system implemented in a rocket tracking control system. The fuzzy control system is used to keep the rocket on track and traveling at a certain speed. The signal from the fuzzy logic control system is used to control the rocket thrust. The fuzzy Logic System was chosen as the controller because it is able to work well on non-linear systems and offers convenience in program design. Fuzzy logic systems have a weakness when working on systems that require very fast control such as rockets. With this problem, fuzzy logic is modified by adding second-order integral control to the modified fuzzy logic. The proposed algorithm shows that the missile can slide according to the ramp path at 12 m altitude of 12.78 at 12 seconds with a steady-state error of 0.78 under FLC control, at 10 m altitude of 10.68 at 10 seconds with a steady-state error of 0.68 with control integral FCL, at a height of 4 m is 4.689 at 4 seconds with a steady-state error of 0.689 with a second-order integral control of FCL. The missile can also slide according to the parabolic path with the second-order integral control of FCL at an altitude of 15.47 in the 4th minute with a steady-state error of 0.References
G. Chen, Z. Li, Z. Zhang, and S. Li, “An Improved ACO Algorithm Optimized Fuzzy PID Controller for Load Frequency Control in Multi Area Interconnected Power Systems,” IEEE Access, vol. 8, pp. 6429–6447, 2020.
Z. Yan, Z. Yang, J. Zhang, J. Zhou, A. Jiang, and X. Du, “Trajectory Tracking Control of UUV Based on Backstepping Sliding Mode With Fuzzy Switching Gain in Diving Plane,” IEEE Access, vol. 7, pp. 166788–166795, 2019.
N. P. Nguyen, H. Oh, Y. Kim, J. Moon, J. Yang, and W.-H. Chen, “Fuzzy-Based Super-Twisting Sliding Mode Stabilization Control for Under-Actuated Rotary Inverted Pendulum Systems,” IEEE Access, vol. 8, pp. 185079–185092, 5393.
S. Hou, J. Fei, Y. Chu, and C. Chen, “Experimental Investigation of Adaptive Fuzzy Global Sliding Mode Control of Single-Phase Shunt Active Power Filters,” IEEE Access, vol. 7, pp. 64442–64449, 2019.
J. Gamiz, R. Vilanova, H. Martinez-Garcia, Y. Bolea, and A. Grau, “Fuzzy Gain Scheduling and Feed-Forward Control for Drinking Water Treatment Plants (DWTP) Chlorination Process,” IEEE Access, vol. 8, pp. 110018–110032, 2020.
F. You, N. Chen, Z. Zhu, S. Cheng, H. Yang, and M. Jia, “Adaptive Fuzzy Control for Nonlinear State Constrained Systems With Input Delay and Unknown Control Coefficients,” IEEE Access, vol. 7, pp. 53718–53730, 2019.
X. Tang, D. Ning, H. Du, W. Li, Y. Gao, and W. Wen, “A Takagi-Sugeno Fuzzy Model-Based Control Strategy for Variable Stiffness and Variable Damping Suspension,” IEEE Access, vol. 8, pp. 71628–71641, 2020.
J. Yang et al., “EKF Based Fuzzy PI Controlled Speed Sensorless Power Optimal Control of a Direct Drive Power System,” IEEE Access, vol. 7, pp. 61610–61619, 2019.
E. D. S. Oliveira, R. H. C. Takahashi, and W. M. Caminhas, “Online Neuro-Fuzzy Controller: Design for Robust Stability,” IEEE Access, vol. 8, pp. 193768–193776, 2020.
H. K. Tran, J.-S. Chiou, N. T. Nam, and V. Tuyen, “Adaptive Fuzzy Control Method for a Single Tilt Tricopter,” IEEE Access, vol. 7, pp. 161741–161747, 2019.
Y. Huang, T. Wang, J. Wang, K. Ma, C. Zhang, and X. Huang, “Extended Fuzzy Adaptive Event-Triggered Compensation Control for Uncertain Nonlinear Systems With Input Hysteresis,” IEEE Access, vol. 7, pp. 89658–89669, 2019.
Y. Liu, P. Yang, L. Cao, Y. Li, R. Wang, and X. Sun, “High Order Sliding Mode Backstepping Control for a Class of Unknown Pure Feedback Nonlinear Systems,” IEEE Access, vol. 8, pp. 227528–227537, 2020.
X. Fan, Y. He, P. Cheng, and M. Fang, “Fuzzy-Type Fast Terminal Sliding-Mode Controller for Pressure Control of Pilot Solenoid Valve in Automatic Transmission,” IEEE Access, vol. 7, pp. 122342–122353, 2019.
H. Hu, X. Wang, and L. Chen, “Impedance Sliding Mode Control With Adaptive Fuzzy Compensation for Robot-Environment Interacting,” IEEE Access, vol. 8, pp. 19880–19889, 2020.
X. Bu, “Actor-Critic Reinforcement Learning Control of Non-Strict Feedback Nonaffine Dynamic Systems,” IEEE Access, vol. 7, pp. 65569–65578, 5292.
T. Sadeq, C. K. Wai, E. Morris, Q. A. Tarboosh, and O. Aydogdu, “Optimal Control Strategy to Maximize the Performance of Hybrid Energy Storage System for Electric Vehicle Considering Topography Information,” IEEE Access, vol. 8, pp. 216994–217007, 2020.
H. Rezk, M. Aly, M. Al-Dhaifallah, and M. Shoyama, “Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications,” IEEE Access, vol. 7, pp. 106427–106438, 2019.
D. Liu, S. Zhao, and X. Luo, “Adaptive Fuzzy Control for the Generalized Projective Synchronization of Fractional-Order Extended Hindmarsh-Rose Neurons,” IEEE Access, vol. 8, pp. 190689–190699, 2020.
H. Xue, Z. Zhang, M. Wu, and P. Chen, “Fuzzy Controller for Autonomous Vehicle Based on Rough Sets,” IEEE Access, vol. 7, pp. 147350–147361, 2019.
H. Wu, H. An, Q. Wei, and H. Ma, “Fuzzy CMAC-Based Adaptive Scale Force Control of Body Weight Support Exoskeletons,” IEEE Access, vol. 8, pp. 147286–147294, 2020.
M. Rabah, A. Rohan, S. A. S. Mohamed, and S.-H. Kim, “Autonomous Moving Target-Tracking for a UAV Quadcopter Based on Fuzzy-PI,” IEEE Access, vol. 7, pp. 38407–38419, 2019.
Y. Guo and M. E. A. Mohamed, “Speed Control of Direct Current Motor Using ANFIS Based Hybrid P-I-D Configuration Controller,” IEEE Access, vol. 8, pp. 125638–125647, 2020.
C. Bao, H. Guo, L. Kong, and X. Cheng, “Multi-Stage Gear Shifting Control Scheme for Electric Mechanical Transmission: Design and Experiment,” IEEE Access, vol. 7, pp. 95576–95584, 2019.
Y. Chen, Q. Gao, J. Cheng, K. Shi, and W. Qi, “Static Output Feedback Control for Fuzzy Systems With Stochastic Fading Channel and Actuator Faults,” IEEE Access, vol. 8, pp. 200714–200723, 2020.
W. Kang, S. Li, and D.-W. Ding, “Input-to-State Stabilization of Uncertain Parabolic PDEs Using an Observer-Based Fuzzy Control,” IEEE Access, vol. 7, pp. 3581–3591, 2019.
Z. Liu, P. Zhang, K. Y. Chan, K. Ma, and L. Li, “Robust Power Allocation for Femtocell Networks Using Fuzzy Estimation of Dynamic Channel States,” IEEE Access, vol. 7, pp. 22872–22883, 2019.
X. Liu, S. Zhen, H. Zhao, H. Sun, and Y.-H. Chen, “Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor,” IEEE Access, vol. 7, pp. 153829–153841, 2019.
J. Wu, M. Dong, K. Ota, M. Tariq, and L. Guo, “Cross-Domain Fine-Grained Data Usage Control Service for Industrial Wireless Sensor Networks,” IEEE Access, vol. 3, pp. 2939–2949, 2015.
H. ZHAO, Q. WU, C. WANG, L. CHENG, and C. N. RASMUSSEN, “Fuzzy logic based coordinated control of battery energy storage system and dispatchable distributed generation for microgrid,” J. Mod. Power Syst. Clean Energy, vol. 3, no. 3, pp. 422–428, Sep. 2015.
P.-H. Kuo, T.-H. S. Li, Y.-F. Ho, and C.-J. Lin, “Development of an Automatic Emotional Music Accompaniment System by Fuzzy Logic and Adaptive Partition Evolutionary Genetic Algorithm,” IEEE Access, vol. 3, pp. 815–824, 2015.
R. Mahony, V. Kumar, and P. Corke, “Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor,” IEEE Robot. Autom. Mag., vol. 19, no. 3, pp. 20–32, Sep. 2012.
Iswanto, O. Wahyunggoro, and A. I. Cahyadi, “Hover position of quadrotor based on PD-like fuzzy linear programming,” Int. J. Electr. Comput. Eng., vol. 6, no. 5, pp. 2251–2261, 2016.

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