Prediction control method for non-self-balancing system
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A predictive control and non-self-balancing technology, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems such as difficult to guarantee the stability of the control system, irregular adjustment of controller parameters, and difficult modeling
Inactive Publication Date: 2012-10-24
CHINA PETROLEUM & CHEM CORP +1
View PDF0 Cites 9 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0005] The technical problem to be solved by the present invention is that there are problems in the prior art that the non-self-balancing system is difficult to control, the modeling is difficult, the stability of the control system is difficult to guarantee, and the controller parameter adjustment is irregular.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0105] For a 100,000-ton butadiene production plant in a certain factory, consider the following Figure 4 The extractive distillation column shown, the liquid level L of the extractive distillation column B 2 The flow F of tower A entering tower B is tested by a step signal to obtain the following process description
[0106] G ( s ) = K s e - θs
[0107] where K=0.2273, θ=10.
specific Embodiment approach
[0108] (1) According to the process characteristics, determine the system model parameter N=30 and the sampling time T s = 1s.
[0109] (2) Select the appropriate fitting point H=24, r=0, closed-loop response time T ref = 1s to verify the following formula
[0110] Σ i = 1 N + 1 | ( H + 1 ) ( Δ s ‾ i - ( r + 1 ) Δ s i - H ( Δ s ‾ i ...
Embodiment 2
[0119] Consider a non-self-balancing system structure described as:
[0120] G ( s ) = K s ( Ts + 1 ) e - θs
[0121] In the formula: K=1, T=4, θ=5.
[0122] Utilize the operation procedure similar to embodiment 1, select controller parameter H=14 under the nominal situation, T s = 1,T ref =1, r=0.
[0123] Apply the method of the present invention, control this non-self-balancing system when adding the load disturbance that amplitude is 0.1 at t=100 moment, the control output curve of its tracking unit step signal is shown in Image 6 shown by the solid line. From Image 6 It can be seen that the present invention can meet the requirement of tracking the set value in a relatively s...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
PUM
Login to view more
Abstract
The invention relate to the design of a prediction control method for a non-self-balancing system and mainly aims to solve the problems of difficult control on the non-self-balancing system, difficult modeling for the non-self-balancing system, difficult guarantee for the stability of a control system and irregular adjustment on parameters of a controller in the prior art. A single controller is adopted to only perform a step response test on a controlled target to obtain a prediction model of the target, and a prediction control algorithm is built by constructing control input of single freedom degree and introducing the concept of a rotation factor into a performance index by using a special error feedback correction method. The prediction control algorithm comprises the following steps of (1) building control input of single freedom degree: selecting future system control input which consists of one primary function weighing; (2) performing step signal excitation on the controlled target to obtain a process model; (3) building a future system expected performance index, and introducing the concept of the rotation factor into a performance index function; (4) deducing future prediction output; (5) building the special error feedback correction; and (6) ensuring the stability of the control system and tracing set value. Due to the adoption of the technical scheme, the problems are better solved, and the method can be used for operation control of the non-self-balancing system.
Description
technical field [0001] The invention relates to a predictive control method of a non-self-balancing system. Background technique [0002] In the actual industrial process control application, the predictive control algorithm based on the step response and impulse response for the stable process has been widely used, which has played an important role in improving the stable production of the device. However, in actual chemical production, there is a common class of objects, that is, when the system is stimulated by an input signal, the controlled system cannot reach a new equilibrium by itself, and its process output value will always increase or decrease. This type of system is called non-self-balancing system. Common non-self-balancing objects include the liquid levels of rectification towers, distillation towers, strippers and other devices. In actual operation, it is very important to control the liquid levels of these devices well so as to reduce the impact on downstre...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more