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In this paper the structure, data processing and adaptation algorithm of neural adaptive controller are described. The topology of the analyzed neural network is similar to the Jordan structure, which contains internal feedback. Fixed parameters of the controller were optimized according to the BAT algorithm. The neural model is applied in a speed control loop of the electrical drive with elastic...
In this paper an adaptive speed control structure of electrical drive is proposed. Mechanical part of the system contains two machines connected with a long shaft. This construction can introduce additional disturbances appearing in transients of state variables. Tested controller is based on MLP neural network trained on-line. Two state variables are used as feedback signals: motor speed and shaft...
This paper presents application of neural network for speed control of drive system with elastic connection. Analyzed object is characteristic due to complexity of the mechanical part of the drive. Motor machine is connected with load using long elastic shaft. Such form of electromagnetic torque transmission leads to appearing of oscillation in state variables transients. In result precise control...
This article presents adaptive speed controller applied for electrical drive containing extended mechanical part of the structure. Load machine is connected with long, elastic shaft. Such construction leads to additional disturbation in control system. Oscillation of state variables are appearing. In described solution controller based on neural network is applied. Weights coefficients are calculated...
The paper presents the application of an adaptive neural controller used for speed control of electrical drives with elastic joint. The described project is realized in CompactRIO controller (cRIO—real-time embedded controller with reconfigurable input and output modules) equipped with an FPGA chip. The proposed speed controller is based on Adaptive Linear Neuron (ADALINE) model with on-line updated...
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