A novel quadratic optimization control MPPT algorithm

2012 ◽  
Author(s):  
Wang Liwei ◽  
Yin Ming
Keyword(s):  
Quadratic Optimization ◽  
Optimization Control

A NMPC Scheme Based on Stirling's Interpolation Formula Approximation Method

2014 ◽  
Vol 530-531 ◽  
pp. 977-980
Author(s):  
Jun Feng Gai ◽  
Guo Rong Zhao ◽  
Da Wang Zhou
Keyword(s):  
Nonlinear System ◽  
Approximation Method ◽  
Optimization Problem ◽  
Interpolation Formula ◽  
Quadratic Optimization ◽  
Quadratic Optimization Problem ◽  
Control Scheme ◽  
Optimization Control ◽  
And Control ◽  
Formula Method

For a kind of nonlinear system whose input-output function is not differentiable, we proposed a model predictive control scheme based on linearization approximation method. We linearized the object nonlinear system using Stirling's interpolation formula method, and reformulated the control performance index to a quadratic optimization problem, and then, we obtained the optimization control sequences by solving the quadratic optimization problem. In order to reduce the complexity of computation, we ignored the high-order terms associated with the linearization. The simulations show that the presented NMPC scheme can achieve a satisfactory control result, also can decrease the dissipation of control energy and control time.

Coordinated optimization control of shield machine based on dynamic fuzzy neural network direct inverse control

2020 ◽  
pp. 014233122098027
Author(s):  
Xuanyu Liu ◽  
Wentao Wang ◽  
Yudong Wang ◽  
Cheng Shao ◽  
Qiumei Cong
Keyword(s):  
Fuzzy Neural Network ◽  
Control Method ◽  
Earth Pressure ◽  
Screw Conveyor ◽  
Inverse Control ◽  
The Earth ◽  
Coordinated Optimization ◽  
Optimization Control ◽  
Fuzzy Neural ◽  
Shield Machine

During shield machine tunneling, the earth pressure in the sealed cabin must be kept balanced to ensure construction safety. As there is a strong nonlinear coupling relationship among the tunneling parameters, it is difficult to control the balance between the amount of soil entered and the amount discharged in the sealed cabin. So, the control effect of excavation face stability is poor. For this purpose, a coordinated optimization control method of shield machine based on dynamic fuzzy neural network (D-FNN) direct inverse control is proposed. The cutter head torque, advance speed, thrust, screw conveyor speed and earth pressure difference in the sealed cabin are selected as inputs, and the D-FNN control model of the control parameters is established, whose output are screw conveyor speed and advance speed at the next moment. The error reduction rate method is introduced to trim and identify the network structure to optimize the control model. On this basis, an optimal control system for earth pressure balance (EPB) of shield machine is established based on the direct inverse control method. The simulation results show that the method can optimize the control parameters coordinately according to the changes of the construction environment, effectively reduce the earth pressure fluctuations during shield tunneling, and can better control the stability of the excavation surface.

Optimization control method for office lighting

2020 ◽  
Author(s):  
JianMin MA ◽  
Dong WEI ◽  
Shuqi JING ◽  
Qi CHEN ◽  
XU WANG ◽  
...  
Keyword(s):  
Control Method ◽  
Optimization Control ◽  
Office Lighting
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