Uncertainty-resistant 2D piecewise affine intermittent process minimum-maximum optimization predication control method
An uncertain, piecewise affine technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., to achieve the effect of improving tracking performance, good control effect, and good control performance
Active Publication Date: 2019-12-20
HAINAN NORMAL UNIV
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[0004] The first object of the present invention is to derive a series of linear affine models through the segmental model identification method for the nonlinear intermittent process of local actuator uncertainty and unknown disturbance, thereby obtaining multiple linear system models, and solving the problems caused by nonlinear characteristics of the system. the impact
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[0233] Embodiment: The following is an example of nonlinear continuous stirred tank reaction process control: nonlinear continuous stirred tank reaction process control is a typical batch process, and the adjustment means is to control the reaction temperature.
[0234] Consider the highly nonlinear Continuous Stirred Tank Reactor (CSTR):
[0235]
[0236] where C A is the concentration in the reversible reaction (A→B) is A, T is the temperature of the reactor, T C is the coolant temperature as the controlled variable. q=100(L / min), V=100(L), C Af =1(mol / L), T f =400(K), ρ=1000(g / L), C P =1(J / gK),k 0 =4.71×10 8 (min -1 ), E / R=8000(K) , ΔH=-2×10 5 (J / mol), UA=1×10 5 (J / minK). Operational constraints are 200≤T C ≤450(K),0.01≤C A ≤1(mol / L) and 250≤T≤500(K).
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The invention provides an uncertainty-resistant 2D piecewise affine intermittent process minimum-maximum optimization predication control method, and belongs to the field of advanced control of industrial process. The method comprises the following steps: step 1, dividing the intermittent process into a series of affine operation areas according to the nonlinear characteristic of an intermittent process, and establishing a two-dimensional predictive control system model with uncertainty of a controlled object based on a state space model; step 2, designing an uncertainty-resistant 2D piecewiseaffine minimum-maximum optimization predication controller of the controlled object according to the new state space model. According to the method, a nonlinear system is divided into a series of linear piecewise affine models, and the piecewise affine intermittent process minimum-maximum optimization predication controller is designed under the uncertainty, so that the system can run stably andshow high control performance under various uncertainty conditions.
Description
technical field [0001] The invention belongs to the field of advanced control of industrial processes, and relates to an anti-uncertainty 2D subsection affine intermittent process minimum-maximum optimization predictive control method. Background technique [0002] As people's requirements for high-quality production are getting higher and higher, the control of batch processes has been greatly challenged. At the same time, the inevitable uncertainty and interference also put forward higher requirements for the control method. Actuator uncertainty is common in industrial processes, causing the output response of the actuator to not be the exact response calculated by the controller for the control signal. In this case, the performance of the control system may deteriorate to an unacceptable level. Once the actuator fails, the system will be out of control, and even cause equipment damage, property damage and personnel safety problems in severe cases. In addition to actuat...
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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 罗卫平王心如王立敏
Owner HAINAN NORMAL UNIV
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