TAILIEUCHUNG - Sliding mode in automatic control systems

In industrial sector as well as military technology - especially in the improvement, modernization and manufacture of new weapons and technical equipment, the synthesis of high quality control systems is always an urgent demand. The assurance of quality for control systems operating under disturbance and uncertainty conditions of dynamic model requires the development of new control algorithms based on the modern control theory. | Nghiên cứu khoa học công nghệ SLIDING MODE IN AUTOMATIC CONTROL SYSTEMS Nguyen Vu1 Tran Ngoc Binh2 Ha Thi Thi2 Abstract In industrial sector as well as military technology - especially in the improvement modernization and manufacture of new weapons and technical equipment the synthesis of high quality control systems is always an urgent demand. The assurance of quality for control systems operating under disturbance and uncertainty conditions of dynamic model requires the development of new control algorithms based on the modern control theory. Along with other tools of modern control theory such as optimal control adaptive control linear robust control fuzzy control. sliding mode control is a relatively universal tool easy in technical realization and have high effectiveness in practice. This report presents sliding mode control features and its application for some classes in military technology. Keywords Sliding mode Sliding control Uncertain parameters Elastic backlash. 1. INTRODUCTION OF SLIDING CONTROL Consider a system described by the following dynamic equation x Ax Bu 1 where x e Rn A e Rn-n B e Rn-m u e Rm The idea of sliding mode is derived from transforming equation 1 into a set of equations 1 x. A x 2a 1 2 x2 A21 x A22 x B2 .u 2b . . x e Rn-m x e Rm where 221 -2 . x2 in 2a can be regarded as the virtual control signal of the system. To obtain the system stability state feedback control is used x2 -C1 x 3 where C1 e Rm- n-m . However because x2 is virtual control signal equation 3 can not be always exist. Then the equation 3 can be written as S C1 x Ix2 Cx 0 4 where S e Rm C e The problem is that in order to make the system in 1 stable control signal u_ needs satisfying condition 4 . Condition 4 occurs when 0 when m 1 5 When m 1 then S T Or ST. CAx CBu 0 when S 0. 6 By defining u - CB -1 CAx - CB -1 S 7 Tạp chí Nghiên cứu KH CN quân sự Số Đặc san ACMEC 07 - 2017 71 Điều khiển - Cơ điện tử - Truyền thông With sgn S sng S1 .sgn sm

• Tự động hoá
• Sliding mode
• Sliding control
• Uncertain parameters
• Elastic backlash
• Technical equipment
• Control systems operating
• Phương pháp điều khiển sliding mode và droop control
• Phương pháp điều khiển sliding mode
• Phương pháp điều khiển droop control
• Bộ nghịch lưu trong Microgrid
• Sliding Mode Control
• Fractional order sliding mode control of overhead cranes
• Fractional order sliding mode control
• Fractional order contro
• Terminal sliding mode control
• New Quasi sliding mode function
• Two tanks interacting
• Automatic liquid dispensing
• Chattering phenomenon
• Second order sliding mode observer
• Robotic manipulators
• Uniform second order sliding mode observer
• Dynamical model
• The delta sigma modulation approach
• Delta sigma modulation
• Multi variable sliding mode control
• Differential flatness
• Vietnam Journal of Science and Technology
• Aanti sway tracking control
• Overhead crane system based on pid
• Fuzzy sliding mode control
• Anti sway tracking
• Tạp chí khoa học
• Dynamic modeling
• Fish robotm
• Sliding mode controller
• Fuzzy sliding mode controller
• Journal of Automation and Control Engineering
• Interval type 2 fuzzy sliding mode controller
• Fuzzy sliding mode controller for hypersonic aircraft
• Robust flight control
• Khoa học máy tính
• Điều khiển học
• Tạp chí Khoa học máy tính
• Bài báo khoa học
• Electro Optical Tracking System
• Sliding Mode Control
• Attitude tracking control for momentum wheel driven satellites
• Momentum wheel driven satellites with external disturbances
• Sliding mode approach
• Dual arm robot
• Backstepping Sliding Mode Control
• Lyapunov theory
• Degrees of freedom
• Observer based sliding mode control
• Discrete nonlinear systems
• Packet losses
• Event triggered scheme
• Journal of Computer Science and Cybernetics
• Sliding mode control for a planar parallel robot driven
• Electric motors in a task space
• The substructure method
• Sliding mode based relative pose synchronous control
• Space autonomous rendezvous
• Relative pose synchronous control
• The control system design
• The sliding mode control law
• Flexible manipulator
• Finite element method
• Dynamic modeling of SFM
• Assumed mode method
• Two wheeled self balancing mobile robot
• Hierarchical sliding control
• Radial basis function neural network
• Underactuated system
• kỹ thuật sliding mode
• hệ thống Không chiến
• Điều khiển từ xa
• điều khiển tự động hoá
• tự động hóa công nghiệp
• điện tử ứng dụng
• kỹ thuật điều khiển
• High order sliding mode control
• Anti sway based compensation
• Artificial neural network
• Pso algorithm for overhead crane
• Hệ hụt cơ cấu chấp hành
• Điều khiển trượt
• Nhiễu bị chặn
• Bất đẳng thức ma trận tuyến tính
• Ma trận tuyến tính
• Underactuated mechanical system
• Computed torque controller
• Delta parallel robot
• Computed torque control
• Neural network control
• Cart and Pole
• Inverted pendulum
• Genetic algorithm
• Electric vehicle
• Traction control
• Anti lock braking system
• Journal of Science and Technology
• Gearshift control of a dual clutch transmission
• Nonlinear uncertain systems
• Smooth clutch engagement
• Non linear models
• Labview based sliding mode voltage control
• Pem fuel cell system
• Proton Exchange Membrane
• Simulator with GUI