In the nonlinear system, fixed learning gain in the P-type iterative learning process makes the convergence rate slow and the robustness bad. So the P-type iterative learning gain was set up by fuzzy inference for spe...
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This system mainly aims at the design of communication system for autonomous mobile robot intelligent system, mobile robots can complete the function that is sensory of the outside world such as the situations and cha...
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A nonlinear model of the rolling mill automatic position control system is derived based on analyzing the friction between roll and metal plate, the flexibility and the roll eccentricity force. The nonlinear character...
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In the present discussion, it is described for the work principle of the ultrasonic liquid density meter. The center frequency of the ultrasonic transducer is 1MHz. The paper gives the design of the hardware and the p...
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The stable control for sintering burn-through point is the important condition that assuring sintering machine run highly active, increasing the yield and quality of sintering ore. For the aim of control independently...
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With the development of modern hot-dip galvanizing technology, the automation technology is also improved daily and laser welder also become the developing trend in the future. In order to ensure continuous production...
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Along with the improvement of substance life level, the whole society will be greatly influenced by the development and application of the home net technology. The emergence of information appliances and the developme...
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The output and quality of metal plate and strip are heavily affected by performance of the main drive system of rolling mill. Aim at the characteristics of main drive system of rolling mill,such as uncertain external ...
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The output and quality of metal plate and strip are heavily affected by performance of the main drive system of rolling mill. Aim at the characteristics of main drive system of rolling mill,such as uncertain external load disturbance and unmodelled dynamics,the model of main drive system of rolling mill is established, where uncertain external load disturbance and unmodelled dynamics are regarded as one integrated disturbance. Then, using extended states observer(ESO), a new observer is proposed to observe and compensate this integrated disturbance, and a robust controller of speed system of rolling mill is designed based on active disturbance rejection control(ADRC) technology. This controller has very strong robustness not only to external load disturbance, but also to unpredictable plant parameter variations such as inertia of load、resistance of armature. Its effectiveness is verified by the simulated result.
Aiming at the parameters of fuzzy controller and CMAC neural network are difficult to tune,GA is introduced to the control system to optimize the parameters of fuzzy CMAC neural network. The strong points of fuzzy con...
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Aiming at the parameters of fuzzy controller and CMAC neural network are difficult to tune,GA is introduced to the control system to optimize the parameters of fuzzy CMAC neural network. The strong points of fuzzy control, CMAC, genetic algorithms and improved structure are together. A FCMAC control system is designed based on modified GA. Both the overall architecture of the system and the design of every part are proposed here. The results of simulation show that the proposed control system has better performance in the learning ability and approximation accuracy.
In the nonlinear system, fixed learning gain in the P-type iterative learning process makes the convergence rate slow and the robustness bad. So the P-type iterative learning gain was set up by fuzzy inference for spe...
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In the nonlinear system, fixed learning gain in the P-type iterative learning process makes the convergence rate slow and the robustness bad. So the P-type iterative learning gain was set up by fuzzy inference for speeding up the convergence rate and enhancing the robustness. And the design of P-type iterative learning fuzzy gain controller used FPGA (Field-Programmable Gate Array) to complete. Theoretical analysis and hardware test show that the method is effectiveness. The learning speed and effective compared to traditional learning systems improves significantly.
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