Cascade pseudo derivative feedback control algorithm and its application to design of autopilots

2002 ◽  
Author(s):  
A. Vahedipour ◽  
J.P. Bobis
Keyword(s):  
Feedback Control ◽  
Control Algorithm

scholarly journals Robust H ∞ state-feedback control for linear systems

2017 ◽  
Vol 473 (2200) ◽  
pp. 20160934 ◽  
Author(s):  
Hao Chen ◽  
Zhenzhen Zhang ◽  
Huazhang Wang
Keyword(s):  
Feedback Control ◽  
Linear Systems ◽  
Control Algorithm ◽  
State Feedback ◽  
Convex Combination ◽  
State Feedback Control ◽  
Parameter Uncertainties ◽  
Globally Asymptotically Stable ◽  
Loop Control ◽  
Control Approach

This paper investigates the problem of robust H ∞ control for linear systems. First, the state-feedback closed-loop control algorithm is designed. Second, by employing the geometric progression theory, a modified augmented Lyapunov–Krasovskii functional (LKF) with the geometric integral interval is established. Then, parameter uncertainties and the derivative of the delay are flexibly described by introducing the convex combination skill. This technique can eliminate the unnecessary enlargement of the LKF derivative estimation, which gives less conservatism. In addition, the designed controller can ensure that the linear systems are globally asymptotically stable with a guaranteed H ∞ performance in the presence of a disturbance input and parameter uncertainties. A liquid monopropellant rocket motor with a pressure feeding system is evaluated in a simulation example. It shows that this proposed state-feedback control approach achieves the expected results for linear systems in the sense of the prescribed H ∞ performance.

Research on Digital Control of Meter-In and Meter-Out Independent Regulating for High Inertia Load

1999 ◽  
Author(s):  
Qingfeng Wang ◽  
Linyi Gu ◽  
Yongxiang Lu
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Dynamic Process ◽  
Control Algorithm ◽  
Damping Ratio ◽  
State Feedback Control ◽  
Hydraulic Systems ◽  
Outlet Pressure ◽  
Acceleration And Deceleration ◽  
Valve Control

Abstract The smoothness of acceleration and deceleration process is a serious problem in valve control system with high inertia load, especially in the hydraulic systems in construction machines. In this paper, a meter-in and meter-out independent regulating method, in which the two sides of actuator are controlled by a meter-in valve and a meter-out valve respectively, is put forward, in one hand, the meter-out valve could control the actuator’s outlet pressure to avoid the ultra-high outlet pressure when actuator decelerates or brakes suddenly. On the other hand, the dynamic damping ratio of valve control system could be raised through calculated flow feedback control algorithm. Secondly, a grading control algorithm in dynamic process of high inertia load is adopted. When the actuator’s velocity is far from its command value, the actuator’s inlet and outlet pressure are controlled. After the velocity error decrease to a threshold, a state feedback control algorithm based on parameters on line estimating is employed to realize both its velocity accuracy and the smoothness of dynamic process. Experiments show that the actuator’s velocity could increase or decrease to its command value accurately, smoothly and rapidly after the above method and algorithm are applied.

Feedforward and Feedback Control of Lane Keeping by the Human Driver

2007 ◽  
Author(s):  
Jing Zhou ◽  
Huei Peng
Keyword(s):  
Feedback Control ◽  
Disturbance Rejection ◽  
Control Algorithm ◽  
Lateral Position ◽  
Simulation Environment ◽  
Perceptual Cues ◽  
Lane Tracking ◽  
Human Driver ◽  
Road Geometry ◽  
Lane Keeping

A feedforward/feedback control model of drivers’ lane keeping behavior is presented in this paper. The model is based on the linearized analysis of the driver’s curve negotiation dynamics. In real driving, the driver previews the upcoming road geometry and relies on perceived vehicle states to maintain a desired lateral position. Feedforward and feedback roles are associated with different perceptual cues, and the lane keeping task is formulated into a disturbance rejection problem. Control parameters are determined to reflect natural stable human characteristics. Verification tests in a realistic simulation environment demonstrate the ability of the model to generate driver/vehicle lane keeping responses comparable to those obtained on a simulator. Potentially, the derived control algorithm can also be applied to automatic lane-tracking as long as reliable information regarding vehicle states and upcoming road conditions is accessible.

Impedance Control: An Approach to Manipulation: Part II—Implementation

1985 ◽  
Vol 107 (1) ◽  
pp. 8-16 ◽  
Author(s):  
Neville Hogan
Keyword(s):  
Feedback Control ◽  
Inverse Kinematics ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Impedance Control ◽  
Dynamic Interaction ◽  
End Point ◽  
Inverse Kinematics Problem ◽  
Theoretical Reasoning ◽  
Redundant Actuators

This three-part paper presents an approach to the control of dynamic interaction between a manipulator and its environment. Part I presented the theoretical reasoning behind impedance control. In Part II the implementation of impedance control is considered. A feedback control algorithm for imposing a desired cartesian impedance on the end-point of a nonlinear manipulator is presented. This algorithm completely eliminates the need to solve the “inverse kinematics problem” in robot motion control. The modulation of end-point impedance without using feedback control is also considered, and it is shown that apparently “redundant” actuators and degrees of freedom such as exist in the primate musculoskeletal system may be used to modulate end-point impedance and may play an essential functional role in the control of dynamic interaction.

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