TAILIEUCHUNG - Improved adaptive feedback linearization control based on fuzzy logic for nonlinear systems

Based on feedback linearization, an improved fuzzy adaptive controller has been developed for undefined nonlinear systems. Two major results are presented in this article. The first one is the strategy in designing the controller to avoid the singularity problem that usually appears in indirect control methods based on neural or fuzzy approximation. | ISSN 1859-1531 - TẠP CHÍ KHOA HỌC VÀ CÔNG NGHỆ ĐẠI HỌC ĐÀ NẴNG, VOL. 17, NO. , 2019 57 IMPROVED ADAPTIVE FEEDBACK LINEARIZATION CONTROL BASED ON FUZZY LOGIC FOR NONLINEAR SYSTEMS ĐIỀU KHIỂN HỒI TIẾP TUYẾN TÍNH HÓA THÍCH NGHI CẢI TIẾN DỰA TRÊN LOGIC MỜ CHO HỆ THỐNG PHI TUYẾN Tat-Bao-Thien Nguyen, Luong-Nhat Nguyen Posts and Telecommunications Institute of Technology, Vietnam; nguyentatbaothien@ Abstract - Based on feedback linearization, an improved fuzzy adaptive controller has been developed for undefined nonlinear systems. Two major results are presented in this article. The first one is the strategy in designing the controller to avoid the singularity problem that usually appears in indirect control methods based on neural or fuzzy approximation. The second one is the enhancement of the controller, which enables the control system to operate smoothly under the effects of nonlinearity input. The stability of the control system with nonlinear control input in the adaptive feedback linearization control based on fuzzy logic has been proved by means of Lyapunov’s theory of stability. Illustrative examples are employed to testify to outstanding features of the proposed control approach. Tóm tắt - Dựa trên nền hồi tiếp tuyến tính hóa, chúng tôi phát triển bộ điều khiển mờ thích nghi cho đối tượng phi tuyến không xác định. Có hai kết quả chính trong bài báo này. Kết quả thứ nhất là chiến lược trong thiết kế bộ điều khiển nhằm tránh qua vấn đề suy biến thường xuất hiện trong các giải pháp điều khiển gián tiếp dựa trên xấp xỉ nơron hoặc xấp xỉ mờ. Kết quả thứ hai là tính năng tăng cường của bộ điều khiển cho phép hệ thống điều khiển hoạt động trơn tru dưới tác động của tín hiệu điều khiển phi tuyến. Tính ổn định của hệ thống điều khiển với tín hiệu điều khiển phi tuyến trong giải pháp điều khiển thích nghi hồi tiếp tuyến tính hóa dựa trên logic mờ được chúng tôi chứng mình dùng lý thuyết ổn định Lyapunov. Ví dụ minh họa được sử dụng để minh chứng cho các .

• Kĩ thuật Viễn thông
• Adaptive control
• Feedback linearization control
• Fuzzy logic
• Nonlinearity input
• Nonlinear control
• Neural networks
• An Adaptive Controller Design for Flexible
• Model Reference Adaptive Control
• Advances in Parameter Estimation
• Estimation and Control of Stochastic Systems
• Adaptive Control Design for Uncertain
• Adaptive Control Methodology
• Automatic 3D Model Generation
• Adaptive Estimation and Control
• Adaptive output regulation
• Output Feedback Direct
• Discrete Model Matching Adaptive
• Hybrid Schemes for Adaptive Control Strategies
• Sliding mode control
• Dynamic surface control
• Neural network
• Surface ship
• Adaptive Neural Network Dynamic Surface Control
• systems and control
• Analysis
• Control Design
• signal convergence
• Adaptive parameter estimation
• Journal of Automation and Control Engineering
• Investigation of hybrid adaptive control schemes
• Needle free jet injection system
• Hybrid adaptive control schemes
• Needle free jet injection
• Modelling and simulations
• Phd thesis summary
• Adaptive control for six phase induction motor drives
• Six phase induction motor drives
• Improve control quality
• Adaptive wavelet backstepping control
• Class of mimo underactuated systems
• Multi input multi output
• Proposed control scheme
• Adaptive backstepping controller
• Adaptive fuzzy logic control
• Industrial robot
• Direct Model Reference Adaptive Systems
• Adaptive control system
• Two wheel mobile robot
• Efficient adaptive fuzzy control scheme for industrial manipulators
• Degree of freedom
• Fuzzy control scheme
• IMO nonlinear second order systems
• Automatic control
• RBF neural network
• Continuous mixing technologies
• Robotic manipulator control
• Time varying uncertainty observation
• Numerical simulation
• Tracking control performance
• Direct mras based an adaptive control system
• Twin rotor mimo system
• Model Reference Adaptive Systems
• Robustness against internal
• The conventional PID controllers
• International Journal of Computer Science & Communication Networks
• Efficient cross layer congestion control adaptive routing protocol
• Adaptive routing protocol
• Mobile ad hoc networks in constrained environment
• Improving of control overhead crane quality based on the fuzzy adaptive
• The fuzzy adaptive
• Fuzzy logic system
• 2D overhead crane model
• The proposed controller in industrial practice
• L1 adaptive controller
• Permanent magnet synchronous generator
• Wind speed turbulence
• Wind turbine parameters uncertainties
• Design of indirect mras based adaptive control systems
• Design of indirect mras
• Daptive control systems
• The indirect MRAS
• The presence of uncertainty
• High performance DC AC power converter
• Adaptive control technique for advanced material machining
• Advanced material machining
• Low total harmonic distortion
• Mechanical adaptive design
• Control of knee continuous passive motion machine
• Knee physical training
• Thigh and devices linkages
• Tracking control
• Receding horizon control
• Constrained optimization
• Model predictive control
• Adaptive fuzzy controller
• Lower extremity rehabilitation exoskeleton
• Impedance controller and pid controller
• Adaptive fuzzy control
• The linear actuators
• Force control
• GPI technique
• Force control without force sensor
• Hybrid force
• Position control
• điện tử
• hệ thống xác định một phần
• partially known system
• Adaptive control of partially known system
• Welding Moble Robot ( WMR)
• Adaptive backstepping control
• Kalman filter
• Self balancing two wheel robot
• CAN networks
• Embedded system