Nonlinear System Control Strategies

2013 ◽  
Vol 694-697 ◽  
pp. 2157-2161
Author(s):  
Cong Li ◽  
Xi Min Liu
Keyword(s):  
Nonlinear System ◽  
Nonlinear Control ◽  
Control Strategy ◽  
Control Method ◽  
Control Strategies ◽  
Liquid Level ◽  
Amplification Coefficient ◽  
System Control ◽  
Nonlinear System Control ◽  
Level Process

A nonlinear model of a liquid level process is obtained on the analysis of its nonlinear characteristics. Then a practical nonlinear system control strategy of the liquid level process based on single chip computer is presented. By measuring the liquid level and flow rate, two key parameters of the liquid level process, the amplification coefficient and time constant under different load are calculated. Then the control signal is calculated according to the selected control method and the automatic control of the nonlinear system is realized. The test results are given and it shows that the nonlinear control strategy is better then the linear control strategy. The nonlinear control strategy can improve control quality considerably.

scholarly journals An adaptive PID neural network for complex nonlinear system control

2014 ◽  
Vol 135 ◽  
pp. 79-85 ◽  
Author(s):  
Jun Kang ◽  
Wenjun Meng ◽  
Ajith Abraham ◽  
Hongbo Liu
Keyword(s):  
Neural Network ◽  
Nonlinear System ◽  
System Control ◽  
Nonlinear System Control ◽  
Complex Nonlinear System ◽  
Pid Neural Network

Heat Recovery System Control Strategy to Meet Multiple Transient Demands

2001 ◽  
Author(s):  
H. Perez-Blanco ◽  
Paul Albright
Keyword(s):  
Control Strategy ◽  
Thermal Efficiency ◽  
Power Distribution ◽  
Gas Turbines ◽  
Heat Recovery ◽  
Demand Curve ◽  
Control Strategies ◽  
System Control ◽  
Secondary Control ◽  
Exhaust Heat

As increasing power generation needs are met with gas turbines, it is clear that exhaust heat recovery presents a considerable opportunity to reduce operational costs and enhance thermal efficiency. Typically, a system may provide power, process heat and cooling. However, each utility may have a daily demand curve with peaks that do not necessarily coincide in time. Hence, it is necessary to devise strategies that ensure meeting the needs of each user continually while maintaining high thermal efficiencies. To study these situations, a dynamic model of a system comprising a gas turbine, a heat recovery steam generator, and absorption machine was developed. The transient response of the system was studied to determine the effects of sudden changes in demand. Two control strategies utilizing proportional integral controls were considered. The first strategy relied on operating the turbine to meet the power required by the consumer. When power demands were low and steam and cooling demands high, a secondary control strategy operated the turbine to meet the steam demands, thus maximizing the thermal efficiency of the systemThe first strategy relied on operating the turbine to meet the power required by the consumer. When power demands were low and steam and cooling demands high, a secondary control strategy operated the turbine to meet the steam demands, thus maximizing the thermal efficiency of the system. System control and stability were tested, including simulation of a power distribution network simulating resistive, capacitance and inductive loads.

scholarly journals Disturbance Observer-Based Integral Backstepping Control for a Two-Tank Liquid Level System Subject to External Disturbances

2020 ◽  
Vol 2020 ◽  
pp. 1-22 ◽  
Author(s):  
Xiangxiang Meng ◽  
Haisheng Yu ◽  
Herong Wu ◽  
Tao Xu
Keyword(s):  
Control Strategy ◽  
Disturbance Observer ◽  
Control Method ◽  
Sliding Mode ◽  
Mass Conservation ◽  
Backstepping Control ◽  
Liquid Level ◽  
Level System ◽  
External Disturbances ◽  
Simulation And Experiment

A novel method of disturbance observer-based integral backstepping control is proposed for the two-tank liquid level system with external disturbances. The problem of external disturbances can be settled in this paper. Firstly, the mathematical model of the two-tank liquid level system is established based on fluid mechanics and principle of mass conservation. Secondly, an integral backstepping control strategy is designed in order to ensure liquid level tracking performance by making the tracking errors converge to zero in finite time. Thirdly, a disturbance observer is designed for the two-tank liquid level system with external disturbances. Finally, the validity of the proposed method is verified by simulation and experiment. By doing so, the simulation and experimental results prove that the scheme of disturbance observer-based integral backstepping control strategy can suppress external disturbances more effective than the disturbance observer-based sliding mode control method and has better dynamic and steady performance of the two-tank liquid level system.

scholarly journals Analytical Synthesis of Regulators for Nonlinear Systems with a Terminal State Method on Examples of Motion Control of a Wheeled Robot and a Vessel

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
E. A. Shushlyapin ◽  
A. E. Bezuglaya
Keyword(s):  
Inverse Dynamics ◽  
Control Method ◽  
Nonlinear Differential Equations ◽  
Terminal State ◽  
System Control ◽  
Wheeled Robot ◽  
Nonlinear System Control ◽  
Seventh Order ◽  
State Method ◽  
Double Track

The paper is devoted to several examples of control algorithm development for two-wheeled double-track robot and low-tonnage vessel-catamaran with two Azipods that show practical aspects of the application of one nonlinear system control method — terminal state method. This method, developed by the authors of the present paper, belongs to the class of methods for inverse dynamics problem solving. Mathematical models of control objects in the form of normal systems of third-order nonlinear differential equations for the wheeled robot and seventh-order ones for the vessel are presented. Design formulas of the method in general form for terminal and stabilizing controls are shown. A routine of obtaining calculation expressions for control actions is shown. Results of computer simulation of bringing the robot to a given point in a given time, as well as bringing the vessel to a given course during a “strong” maneuver, are described.

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