CN113126484B - Improved model-free sliding mode control system and method for hydraulic system - Google Patents
Improved model-free sliding mode control system and method for hydraulic system Download PDFInfo
- Publication number
- CN113126484B CN113126484B CN202110415388.1A CN202110415388A CN113126484B CN 113126484 B CN113126484 B CN 113126484B CN 202110415388 A CN202110415388 A CN 202110415388A CN 113126484 B CN113126484 B CN 113126484B
- Authority
- CN
- China
- Prior art keywords
- hydraulic system
- displacement
- moment
- sliding mode
- current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
- G05B13/024—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a parameter or coefficient is automatically adjusted to optimise the performance
Abstract
The invention discloses an improved model-free sliding mode control system and method of a hydraulic system, aiming at the characteristics of strong nonlinearity, uncertainty and the like of the hydraulic system, combining the control rules of a model-free controller and a model-free terminal integral sliding mode controller, fusing human-simulated intelligent control and model-free sliding mode control, integrating control quantity information obtained by multiplying deviation and deviation change rate, enriching dynamic information of deviation processing, improving the response speed of the controller and effectively improving dynamic and steady-state performances. The method has the characteristics of small calculation amount and easy realization of on-line control of the hydraulic system.
Description
Technical Field
The invention relates to the technical field of hydraulic system control, in particular to an improved model-free sliding mode control system and method for a hydraulic system.
Background
The output of the electro-hydraulic system has the characteristics of large force/torque output, quick response time and the like, plays a very important role in industry, and is widely applied to modern airplanes, automobiles, robots, mechanical hands, machine tools, manufacturing industries, mould oscillators and suspension systems. The complexity, nonlinearity and uncertainty of electro-hydraulic systems are rooted in: nonlinear flow and pressure characteristics, bulk modulus, control valve backlash, actuator friction, fluid volume changes due to piston motion, fluid compressibility, external interference and wear and cavitation.
A large number of researchers have been working on modeling, identifying and controlling nonlinear systems using nonlinear models. In order to improve the precision of a hydraulic servo system, a sign function is replaced by a sigmoid function in a sliding mode controller, a self-correcting controller is constructed, buffeting is effectively weakened, the tracking speed is accelerated, and the robustness of the system is improved. In addition, the existing research aims at the problems of anti-interference and control precision in the position control of the branched chains of the parallel motion platform, and provides a sliding mode control algorithm based on self-adaptive inversion. However, these control algorithms require an accurate mathematical model. In order to further improve the control accuracy of the hydraulic system, a more effective control algorithm is sought, and the requirements of high accuracy, high stability and the like of the hydraulic control system are met, which is always a goal sought in engineering.
Disclosure of Invention
The invention provides an improved model-free sliding mode control system and method for a hydraulic system, which aim to improve the control precision and stability of the hydraulic control system.
In order to solve the problems, the invention is realized by the following technical scheme:
the improved model-free sliding mode control method of the hydraulic system comprises the following steps:
step 1, acquiring displacement output quantity y (k) of a hydraulic system at a current time k, displacement output quantity y (k-1) at a previous time k-1 of the current time and displacement output quantity y (k-2) at a previous two times k-2 of the current time;
Step 2, setting quantity y based on displacement of the hydraulic system at the current moment k*(k) And calculating displacement deviation amount e (k) of the hydraulic system at current time k by using displacement output amount y (k), wherein e (k) y*(k) -y (k); setting quantity y based on displacement of hydraulic system at previous moment k-1 of current moment*(k-1) and the displacement output quantity y (k-1) calculate the displacement deviation quantity e (k-1) of the hydraulic system at the previous moment k-1 of the current moment, and the e (k-1) is equal to y*(k-1) -y (k-1); and a set amount y based on the displacement of the hydraulic system at the first two times k-2 of the current time*(k-2) and the displacement output quantity y (k-2) calculate the displacement deviation quantity e (k-2) of the hydraulic system at the two previous moments k-2 of the current moment, and the e (k-2) is equal to y*(k-2)-y(k-2);
Step 3, calculating an input control increment delta u (k) of the hydraulic system at the current time k:
where xi is a set correction coefficient and 0<ξ<1;λ1、λ2And λ3Adjustment coefficients set for 3, and 0<λ1<1,0<λ2<1,0<λ3<1;y*(k +1) is a displacement setting amount of the hydraulic system at the next moment k +1 of the current moment; y (k) is the displacement output quantity of the hydraulic system at the current moment k; e (k) is the displacement deviation amount of the hydraulic system at the current moment k; e (k-1) is the displacement deviation amount of the hydraulic system at the previous moment k-1 of the current moment; e (k-2) is the displacement deviation amount of the hydraulic system at the two previous moments k-2 of the current moment; The pseudo partial derivative of the hydraulic system at the current moment k is obtained;
step 4, superposing the input control increment delta u (k) of the hydraulic system at the current time k obtained in the step 3 to the input control quantity u (k) of the hydraulic system at the current time k to obtain an input control quantity u (k +1) of the hydraulic system at the next time k +1 of the current time, wherein u (k +1) is u (k) + delta u (k);
and 5, controlling the hydraulic system by using the input control quantity u (k +1) of the hydraulic system at the next moment k +1 of the current moment obtained in the step 4.
in the formula, eta is a set step factor and 0<Eta is less than or equal to 1; mu is a set gain adjustment coefficient and 0<μ<1; y (k) is the displacement output quantity of the hydraulic system at the current moment k; y (k-1) is the displacement output quantity at the previous moment k-1 of the current moment;is the pseudo partial derivative of the hydraulic system at a time k-1 preceding the current time; Δ u (k-1) is the input control increment of the hydraulic system at a time k-1 prior to the current time.
When k is 1, the pseudo partial derivative of the hydraulic system at the current time kIs a randomly generated random number, andthe displacement output quantity y (k-1) of the hydraulic system at the previous moment k-1 of the current moment and the displacement output quantity y (k-2) at the previous moment k-2 of the current moment are both 0.
The improved model-free sliding mode control system of the hydraulic system comprises an industrial computer, a displacement sensor and the hydraulic system; the hydraulic system comprises an electro-hydraulic proportional valve and a hydraulic cylinder; wherein the industrial computer is embedded with an improved model-free sliding mode control module based on the method, and is provided with an A/D conversion card and a D/A conversion card; the input end of the displacement sensor is connected with the output end of the hydraulic cylinder, the output end of the displacement sensor is connected with the input end of the A/D conversion card, the output end of the A/D conversion card is connected with the input end of the improved model-free sliding mode control module, the output end of the improved model-free sliding mode control module is connected with the input end of the D/A conversion card, the output end of the D/A conversion card is connected with the input end of an electro-hydraulic proportional valve of the hydraulic system, the output end of the electro-hydraulic proportional valve of the hydraulic system is connected with the input end of the hydraulic cylinder, and the output end of the hydraulic cylinder is connected with the load.
The industrial computer is also provided with a display and/or a network card; the display and/or the network card are connected with the improved model-free sliding mode control module.
Compared with the prior art, the invention has the following characteristics:
1. a core technology of the product of the deviation and the deviation change rate of the humanoid intelligent control is integrated into sliding mode control, a brand new sliding mode function is designed, and the humanoid sliding mode control method is invented.
2. The human-simulated sliding mode control method is combined with a model-free controller, and an improved model-free sliding mode controller is designed.
3. The control method has small calculation amount and is convenient for forming an embedded hydraulic control system.
Drawings
FIG. 1 is a schematic block diagram of an improved modeless sliding mode control system for a hydraulic system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to specific examples.
The invention introduces the core idea of humanoid intelligent control, designs a new sliding mode function, forms an improved model-free sliding mode control module, adds new information, namely control quantity information obtained by multiplying deviation variation and deviation, improves the response speed of hydraulic system control, reduces overshoot and steady-state error, and achieves the purpose of improving the control precision and stability of the hydraulic control system.
1. Humanoid intelligent control
The human-simulated intelligent control is a control algorithm designed according to human thinking mode. And in the control process, selecting a control strategy and a control mode according to the variation trend of the control deviation. The human-simulated intelligent control algorithm comprises the following steps:
Wherein u is the controller output, KpIs a proportionality coefficient, k is a suppression coefficient, e is a deviation of a set value from a controlled variable,as rate of change of deviation, emaxiIs the peak of the ith deviation.Is the core idea of the humanoid intelligent control, and the control quantity of the humanoid intelligent control is based onAnd obtaining a corresponding control strategy.
2. Modeless sliding mode control
Control law of model-free adaptive control (MFAC):
wherein u (k) and u (k-1) are input control amounts at a current time k and a time k-1 immediately before the current time, respectively, and y*(k +1) is the set output quantity of the hydraulic system at the next moment k +1 of the current moment, y (k) is the actual output quantity at the current moment k, 0<λ<1 is the adjustment factor, 0<ρ<1 is a gain factor.The mathematical expression of the pseudo partial derivative of the hydraulic system at the current moment k is as follows:
wherein, 0<h≤1 is a step factor, 0<μ<1 is a sufficiently small gain adjustment factor.Andis the pseudo-partial derivative of the current time k and the time k-1 preceding the current time.Is thatThe initial value of (a) is,is a random number randomly generated in the range of 0-1. Δ u (k-1) is an input control increment of the hydraulic system at a time k-1 before the current time, and Δ u (k-1) ═ u (k-1) -u (k), u (k-1) is an input control quantity at the time k-1 before the current time, and u (k) is an input control quantity at the current time k. Δ y (k) is a displacement output increment of the hydraulic system at the current time k, Δ y (k) is y (k) -y (k-1), y (k) is a displacement output quantity at the current time k, and y (k-1) is a displacement output quantity at the previous time k-1.
Combining discrete sliding mode control with a model-free controller, and integrating the discrete sliding mode control into sliding mode control on the basis of the model-free adaptive sliding mode control to obtain model-free sliding mode control (MFA-SMC). Taking a sliding mode function s (k):
s(k)=λ1e(k)+λ2E(k-1) (4)
where e (k) is the displacement deviation amount of the hydraulic system at the current time k, and e (k) y*(k)-y(k),y*(k) And y (k) is the displacement output quantity at the current moment k. Lambda1And λ2For two adjustment factors, 1>λ1>0,1>λ2>The integral term E (k) is E (k-1) + E (k), and the initial value E (1) is E (1).
After the sliding mode control and the model-free control are fused, the model-free sliding mode control u is as follows:
where 0< ξ <1 is the correction factor.
3. Model-free sliding mode control integrating human-simulated intelligent control and sliding mode control
Considering that the sliding mode control and the humanoid intelligent control are developed on a phase plane, the humanoid intelligent control idea is that the deviation is multiplied by the deviation derivative, and the humanoid intelligent control idea is integrated into the sliding mode controller to obtain the modeless sliding mode control which is integrated by the humanoid intelligent control and the sliding mode control, namely the improved modeless sliding mode control.
Defining a deviation:
e(k)=y*(k)-y(k) (6)
wherein, y*(k) And y (k) are the desired displacement output amount (i.e., displacement set amount) and the actual displacement output amount (i.e., displacement output amount) at time k, respectively.
Taking a sliding mode function ss (k):
ss(k)=λ1e(k)+λ2E(k-1)+λ3e(k-1)Δe(k-1) (7)
wherein ss (k) is a sliding mode function of the current time k, 1>λ1>0,1>λ2>0,1>λ3>0 is three adjustment coefficients. The integral term E (k) ═ E (k-1) + E (k). And delta e (k-1) ═ e (k-1) -e (k-2) is the displacement deviation increment of the hydraulic system at the previous moment k-1 of the current moment. e (k) is the displacement deviation of the hydraulic system at the current time k, and e (k) is y*(k) -y (k). e (k-1) is the displacement deviation of the hydraulic system at the previous moment k-1, and e (k-1) is equal to y*(k-1) -y (k-1), e (k-2) is the displacement deviation amount of the hydraulic system at the two previous moments k-2 of the current moment, and e (k-2) ═ y*(k-2)-y(k-2)。
After the humanoid intelligent control and the sliding mode control are integrated, the improved model-free sliding mode control law of the invention is as follows:
where xi is a set correction coefficient and 0<ξ<1;λ1、λ2And λ3Adjustment coefficients set for 3, and 0<λ1<1,0<λ2<1,0<λ3<1;y*(k +1) is a displacement setting amount of the hydraulic system at the next moment k +1 of the current moment; y (k) is the displacement output quantity of the hydraulic system at the current moment k; e (k) is the displacement deviation amount of the hydraulic system at the current moment k; e (k-1) is the displacement deviation amount of the hydraulic system at the previous moment k-1 of the current moment; e (k-2) is the displacement deviation amount of the hydraulic system at the two previous moments k-2 of the current moment;is the pseudo-partial derivative of the hydraulic system at the current instant k. The initial value e (1) is 0. The invention relates to a method for preparing e (k-1) [ e (k-1) -e (k-2) ]And e (k) -e (k-1)]Two items of new information are introduced, and the deviation multiplication characteristic quantity is added for describing the extreme value state information of the deviation, so that the improvement of the system in the aspects of response speed, steady-state error and the like is facilitated.
Based on the above analysis, the improved model-free sliding mode control method for the hydraulic system, which is designed by the invention, comprises the following steps:
initialization: let k equal to 1;pseudo partial derivative of hydraulic system at current moment kIs a randomly generated random number, andy(0)=y(-1)=0。
step 1, acquiring displacement output quantity y (k) of a hydraulic system at a current time k, displacement output quantity y (k-1) at a previous time k-1 of the current time and displacement output quantity y (k-2) at a previous two times k-2 of the current time;
step 2, setting amount y based on displacement of the hydraulic system at current time k*(k) And the displacement output quantity y (k) is used for calculating the displacement deviation quantity e (k) of the hydraulic system at the current time k, and e (k) is equal to y*(k) -y (k); based on the displacement set value y of the hydraulic system at the previous moment k-1 of the current moment*(k-1) and the displacement output quantity y (k-1) calculate the displacement deviation quantity e (k-1) of the hydraulic system at the previous moment k-1 of the current moment, and the e (k-1) is equal to y*(k-1) -y (k-1); and a set amount y based on the displacement of the hydraulic system at the first two times k-2 of the current time *(k-2) and the displacement output quantity y (k-2) calculate the displacement deviation quantity e (k-2) of the hydraulic system at the previous two times k-2 of the current time, and e (k-2) is equal to y*(k-2)-y(k-2);
Step 3, calculating an input control increment delta u (k) of the hydraulic system at the current time k:
in the formula, xi is a set correction coefficient and 0<ξ<1,λ1、λ2And λ3Adjustment coefficients set for 3, and 0<λ1<1,0<λ2<1,0<λ3<1,y*(k +1) is a displacement set quantity of the hydraulic system at the next moment k +1 of the current moment, y (k) is a displacement output quantity of the hydraulic system at the current moment k, e (k) is a displacement deviation quantity of the hydraulic system at the current moment k, e (k-1) is a displacement deviation quantity of the hydraulic system at the previous moment k-1 of the current moment, e (k-2) is a displacement deviation quantity of the hydraulic system at the previous two moments k-2 of the current moment,the pseudo-partial derivative of the hydraulic system at the present instant k,h is a set step factor and 0<h is less than or equal to 1, mu is a set gain adjustment coefficient and is 0<μ<1, y (k-1) isThe displacement output quantity at the previous time k-1 to the current time,the method comprises the steps that a pseudo partial derivative of a hydraulic system at a previous moment k-1 of a current moment is adopted, and an input control increment of the hydraulic system at the previous moment k-1 of the current moment is adopted;
step 4, superposing the input control increment delta u (k) of the hydraulic system at the current time k obtained in the step 3 to the input control quantity u (k) of the hydraulic system at the current time k to obtain an input control quantity u (k +1) of the hydraulic system at the next time k +1 of the current time, wherein u (k +1) is u (k) + delta u (k);
And 5, controlling the hydraulic system by using the input control quantity u (k +1) of the hydraulic system at the next moment k +1 of the current moment obtained in the step 4.
The improved model-free sliding mode control system of the hydraulic system for realizing the method comprises an industrial computer (IPC machine), a displacement sensor and the hydraulic system, as shown in figure 1. The hydraulic system comprises an electro-hydraulic proportional valve and a hydraulic cylinder. The industrial computer is embedded with an improved model-free sliding mode control module based on the method of claim 1 and is provided with an A/D conversion card, a D/A conversion card, a display and a network card.
The input end of the displacement sensor is connected with the output end of the hydraulic cylinder, the output end of the displacement sensor is connected with the input end of the A/D conversion card, the output end of the A/D conversion card is connected with the input end of the improved model-free sliding mode control module, the output end of the improved model-free sliding mode control module is connected with the input end of the D/A conversion card, the output end of the D/A conversion card is connected with the input end of an electro-hydraulic proportional valve of the hydraulic system, the output end of the electro-hydraulic proportional valve of the hydraulic system is connected with the input end of the hydraulic cylinder, and the output end of the hydraulic cylinder is connected with the load. The display and the network card are connected with the improved model-free sliding mode control module.
The displacement sensor detects the displacement of the hydraulic cylinder. And the A/D conversion card performs analog-to-digital conversion on the displacement sent by the displacement sensor and then sends the displacement to the improved model-free sliding mode algorithm module. The control quantity output by the improved model-free sliding mode algorithm module is sent to an electro-hydraulic proportional valve in a hydraulic system after being subjected to digital-to-analog conversion by a D/A conversion card. The electro-hydraulic proportional valve converts the control signal into a hydraulic power information signal to drive the hydraulic cylinder, and the hydraulic cylinder is driven to push the load to move. And displaying the received displacement signal and the control signal, and displaying the dynamic control process. The network card communicates with the outside, can transmit and output the control information, can also connect the external displacement reference command. The control system realizes high-precision displacement control of the hydraulic system through displacement closed-loop control.
Aiming at the characteristics of strong nonlinearity, uncertainty and the like of a hydraulic system, the invention combines the control rules of a model-free controller and a model-free terminal integral sliding mode controller, integrates the humanoid intelligent control and the model-free sliding mode control, integrates the control quantity information of multiplying the deviation and the deviation change rate, enriches the dynamic information of error deviation processing, improves the response speed of the controller, and effectively improves the dynamic and steady-state performances. The method has small calculation amount and is easy to realize the online control of the hydraulic system.
It should be noted that, although the above-mentioned embodiments of the present invention are illustrative, the present invention is not limited thereto, and therefore, the present invention is not limited to the above-mentioned specific embodiments. Other embodiments, which can be devised by those skilled in the art in light of the teachings of the present invention, are considered to be within the scope of the present invention without departing from its principles.
Claims (5)
1. The improved model-free sliding mode control method of the hydraulic system is characterized by comprising the following steps of:
step 1, acquiring displacement output quantity y (k) of a hydraulic system at a current time k, displacement output quantity y (k-1) at a previous time k-1 of the current time and displacement output quantity y (k-2) at a previous two times k-2 of the current time;
step 2, setting amount y based on displacement of the hydraulic system at current time k*(k) And the displacement output quantity y (k) is used for calculating the displacement deviation quantity e (k) of the hydraulic system at the current time k, and e (k) is equal to y*(k) -y (k); based on the displacement set value y of the hydraulic system at the previous moment k-1 of the current moment*(k-1) and the displacement output quantity y (k-1) calculate the displacement deviation quantity of the hydraulic system at the previous moment k-1 of the current momente(k-1),e(k-1)=y*(k-1) -y (k-1); and a set amount y based on the displacement of the hydraulic system at the first two times k-2 of the current time *(k-2) and the displacement output quantity y (k-2) calculate the displacement deviation quantity e (k-2) of the hydraulic system at the previous two times k-2 of the current time, and e (k-2) is equal to y*(k-2)-y(k-2);
Step 3, calculating an input control increment delta u (k) of the hydraulic system at the current time k:
where xi is a set correction coefficient and 0<ξ<1;λ1、λ2And λ3Adjustment coefficients set for 3, and 0<λ1<1,0<λ2<1,0<λ3<1;y*(k +1) is a displacement setting amount of the hydraulic system at the next moment k +1 of the current moment; y (k) is the displacement output quantity of the hydraulic system at the current moment k; e (k) is the displacement deviation amount of the hydraulic system at the current moment k; e (k-1) is the displacement deviation amount of the hydraulic system at the previous moment k-1 of the current moment; e (k-2) is the displacement deviation amount of the hydraulic system at the two previous moments k-2 of the current moment;is the pseudo partial derivative of the hydraulic system at the current moment k;
step 4, superposing the input control increment delta u (k) of the hydraulic system at the current time k obtained in the step 3 to the input control quantity u (k) of the hydraulic system at the current time k to obtain an input control quantity u (k +1) of the hydraulic system at the next time k +1 of the current time, wherein u (k +1) is u (k) + delta u (k);
and 5, controlling the hydraulic system by using the input control quantity u (k +1) of the hydraulic system at the next moment k +1 of the current moment obtained in the step 4.
2. The method for improved modeless sliding mode control of a hydraulic system of claim 1, wherein the hydraulic system is configured to operate at a current timePseudo partial derivative of kComprises the following steps:
wherein eta is a set step factor and 0<Eta is less than or equal to 1; mu is a set gain adjustment coefficient and 0<μ<1; y (k) is the displacement output quantity of the hydraulic system at the current moment k; y (k-1) is the displacement output quantity at the previous moment k-1 of the current moment;is the pseudo partial derivative of the hydraulic system at a time k-1 preceding the current time; Δ u (k-1) is the input control increment of the hydraulic system at a time k-1 prior to the current time.
3. The method for improved modeless sliding-mode control of a hydraulic system of claim 1 or 2, wherein the pseudo-partial derivative of the hydraulic system at the current time k is when k is 1Is a randomly generated random number, andthe displacement output quantity y (k-1) of the hydraulic system at the previous moment k-1 of the current moment and the displacement output quantity y (k-2) at the previous moment k-2 of the current moment are both 0.
4. The improved model-free sliding mode control system of the hydraulic system is characterized by comprising an industrial computer, a displacement sensor and a hydraulic system; the hydraulic system comprises an electro-hydraulic proportional valve and a hydraulic cylinder; wherein the industrial computer is embedded with an improved model-free sliding mode control module based on the method of claim 1 and is provided with an A/D conversion card and a D/A conversion card;
The input end of the displacement sensor is connected with the output end of the hydraulic cylinder, the output end of the displacement sensor is connected with the input end of the A/D conversion card, the output end of the A/D conversion card is connected with the input end of the improved model-free sliding mode control module, the output end of the improved model-free sliding mode control module is connected with the input end of the D/A conversion card, the output end of the D/A conversion card is connected with the input end of an electro-hydraulic proportional valve of the hydraulic system, the output end of the electro-hydraulic proportional valve of the hydraulic system is connected with the input end of the hydraulic cylinder, and the output end of the hydraulic cylinder is connected with a load.
5. The improved modeless sliding-mode control system for a hydraulic system of claim 4, wherein the industrial computer further comprises a display and/or a network card; the display and/or the network card are/is connected with the improved modeless sliding mode control module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110415388.1A CN113126484B (en) | 2021-04-18 | 2021-04-18 | Improved model-free sliding mode control system and method for hydraulic system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110415388.1A CN113126484B (en) | 2021-04-18 | 2021-04-18 | Improved model-free sliding mode control system and method for hydraulic system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113126484A CN113126484A (en) | 2021-07-16 |
CN113126484B true CN113126484B (en) | 2022-06-28 |
Family
ID=76777115
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110415388.1A Active CN113126484B (en) | 2021-04-18 | 2021-04-18 | Improved model-free sliding mode control system and method for hydraulic system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113126484B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114859729A (en) * | 2022-05-13 | 2022-08-05 | 中国第一汽车股份有限公司 | Control method, device, equipment and storage medium |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0304085A2 (en) * | 1987-08-21 | 1989-02-22 | Toyota Jidosha Kabushiki Kaisha | Hydraulic control device for belt-and-pulley type continuously variable transmission for a vehicle |
US6185467B1 (en) * | 1998-09-02 | 2001-02-06 | Cirrus Logic, Inc. | Adaptive discrete-time sliding mode controller |
JP2001132483A (en) * | 1999-11-04 | 2001-05-15 | Unisia Jecs Corp | Sliding mode control device |
US6882992B1 (en) * | 1999-09-02 | 2005-04-19 | Paul J. Werbos | Neural networks for intelligent control |
EP1635286A1 (en) * | 2004-07-02 | 2006-03-15 | Rockwell Automation Technologies, Inc. | Energy management system |
CN102185558A (en) * | 2011-05-23 | 2011-09-14 | 桂林电子科技大学 | Control method and device for eliminating system buffeting during sliding mode control of linear motor |
CN202094839U (en) * | 2011-05-23 | 2011-12-28 | 桂林电子科技大学 | System-buffeting elimination and control device for linear motor slip form control |
CN103116281A (en) * | 2013-01-17 | 2013-05-22 | 江苏大学 | Model-free adaptive control system of axial mixing magnetic bearing and control method thereof |
CN106527125A (en) * | 2015-09-14 | 2017-03-22 | 南京理工大学 | Model-free control method in intelligent control |
CN110474576A (en) * | 2019-09-23 | 2019-11-19 | 西南交通大学 | A kind of brshless DC motor artificial intelligent method for controlling number of revolution |
CN111146991A (en) * | 2020-01-08 | 2020-05-12 | 青岛科技大学 | Unmanned intelligent sweeper driving motor control method and system |
CN111459051A (en) * | 2020-04-23 | 2020-07-28 | 河北工业大学 | Discrete terminal sliding mode model-free control method with disturbance observer |
CN111596671A (en) * | 2020-06-23 | 2020-08-28 | 青岛科技大学 | Unmanned intelligent sweeper track tracking control method and system |
CN111865169A (en) * | 2020-07-21 | 2020-10-30 | 南京航空航天大学 | Model-free integral sliding mode control method of ultrasonic motor servo system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102015204258A1 (en) * | 2015-03-10 | 2016-09-15 | Robert Bosch Gmbh | Method for determining a switching function for a sliding mode controller and sliding mode controller |
-
2021
- 2021-04-18 CN CN202110415388.1A patent/CN113126484B/en active Active
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0304085A2 (en) * | 1987-08-21 | 1989-02-22 | Toyota Jidosha Kabushiki Kaisha | Hydraulic control device for belt-and-pulley type continuously variable transmission for a vehicle |
US6185467B1 (en) * | 1998-09-02 | 2001-02-06 | Cirrus Logic, Inc. | Adaptive discrete-time sliding mode controller |
US6882992B1 (en) * | 1999-09-02 | 2005-04-19 | Paul J. Werbos | Neural networks for intelligent control |
JP2001132483A (en) * | 1999-11-04 | 2001-05-15 | Unisia Jecs Corp | Sliding mode control device |
EP1635286A1 (en) * | 2004-07-02 | 2006-03-15 | Rockwell Automation Technologies, Inc. | Energy management system |
CN202094839U (en) * | 2011-05-23 | 2011-12-28 | 桂林电子科技大学 | System-buffeting elimination and control device for linear motor slip form control |
CN102185558A (en) * | 2011-05-23 | 2011-09-14 | 桂林电子科技大学 | Control method and device for eliminating system buffeting during sliding mode control of linear motor |
CN103116281A (en) * | 2013-01-17 | 2013-05-22 | 江苏大学 | Model-free adaptive control system of axial mixing magnetic bearing and control method thereof |
CN106527125A (en) * | 2015-09-14 | 2017-03-22 | 南京理工大学 | Model-free control method in intelligent control |
CN110474576A (en) * | 2019-09-23 | 2019-11-19 | 西南交通大学 | A kind of brshless DC motor artificial intelligent method for controlling number of revolution |
CN111146991A (en) * | 2020-01-08 | 2020-05-12 | 青岛科技大学 | Unmanned intelligent sweeper driving motor control method and system |
CN111459051A (en) * | 2020-04-23 | 2020-07-28 | 河北工业大学 | Discrete terminal sliding mode model-free control method with disturbance observer |
CN111596671A (en) * | 2020-06-23 | 2020-08-28 | 青岛科技大学 | Unmanned intelligent sweeper track tracking control method and system |
CN111865169A (en) * | 2020-07-21 | 2020-10-30 | 南京航空航天大学 | Model-free integral sliding mode control method of ultrasonic motor servo system |
Non-Patent Citations (5)
Title |
---|
Incomplete differentiation一based improved adaptive backstepping integral sliding mode control for position control of hydraulic system;Xuanju Dang 等;《ISA Transactions》;20201006;第109卷;199-217 * |
Model-free Adaptive Integral Terminal Sliding Mode Predictive Control for a Class of Discrete-time Nonlinear Systems;Yinsong Wang 等;《ISA Transactions》;20191231;1-9 * |
一种无模型自适应积分终端滑模控制方法;侯明冬 等;《控制与决策》;20180930;第33卷(第9期);1591-1597 * |
基于改进Lucre模型的液压系统滑模控制;党选举 等;《组合机床与自动化加工技术》;20200831(第8期);118-125 * |
数据驱动的无模型自适应轧机液压位置控制;崔桂梅 等;《计算机仿真》;20140228;第31卷(第2期);386-390 * |
Also Published As
Publication number | Publication date |
---|---|
CN113126484A (en) | 2021-07-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108873702B (en) | Linear active disturbance rejection control method and device of electro-hydraulic position servo control system | |
CN108628172B (en) | Mechanical arm high-precision motion control method based on extended state observer | |
CN112096696B (en) | Self-adaptive inversion control method for pump-controlled asymmetric hydraulic position system | |
CN112000009B (en) | Material transfer device reinforcement learning control method based on state and disturbance estimation | |
CN111290276B (en) | Fractional order integral sliding mode control method for neural network of hydraulic position servo system | |
Zhou et al. | Adaptive robust control design for underwater multi-dof hydraulic manipulator | |
CN109884894B (en) | Neural network integral sliding mode control method for electro-hydraulic power-assisted steering system | |
CN113126484B (en) | Improved model-free sliding mode control system and method for hydraulic system | |
CN110703608A (en) | Intelligent motion control method for hydraulic servo actuator | |
CN112643670B (en) | Flexible joint control method based on sliding-mode observer | |
CN109426150A (en) | Load simulator backstepping control method based on extended state observer | |
Rouzbeh et al. | High-accuracy position control of a rotary pneumatic actuator | |
CN107765548B (en) | Launching platform high-precision motion control method based on double observers | |
CN116661294B (en) | Valve control hydraulic cylinder fractional order control method and system based on reinforcement learning | |
Liang et al. | System identification and model predictive control using CVXGEN for electro-hydraulic actuator | |
CN113625547A (en) | Main valve position control method of controller | |
CN109281894B (en) | Nonlinear compensation method for miniature volumetric remote control hydrostatic actuator | |
Kotzev et al. | Generalized predictive control of a robotic manipulator with hydraulic actuators | |
CN111781834B (en) | Self-adaptive fuzzy neural network control method for pneumatic position servo system | |
Huang et al. | Indirect adaptive fuzzy sliding-mode control for hydraulic manipulators | |
CN112947057A (en) | Electro-hydraulic servo system PID parameter optimization method based on differential evolution algorithm | |
Rachkov et al. | Positional control of pneumatic manipulators for construction tasks | |
CN117289612B (en) | Hydraulic mechanical arm self-adaptive neural network control method | |
Chen et al. | Master Cylinder Oil Pressure Following Control Algorithm of Electric Power Assisted Braking System Based on Fuzzy PID Controller | |
CN110671260A (en) | Nonlinear generalized predictive control method for regulating system of hydroelectric generating set |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |