Introduce Spouts Loom elasticity degree controller regulation baseded on MCU PIC16F874,The design idea to come out control system hardware electric circuit and software,Moreover elaborate the controller work rule.
Then, the method of adjusting the controller parameters online based on neural networks is proposed to overcome the system trajectory's deviating from the switching function due to the uncertainty, and by a learning algorithm with variable learning rate, the convergence of the neural networks is improved.
The prime cost of electric vehicle includes the cost of battery,charger,motor and controller. Guaranteed by fast charging battery and charge network,combination motor and magnetic driving motor can take place of main motor,electric adjustment control motor,mechanical gear-box and clutch,In this way,both the weight of on-board battery and cost can be reduced.
The controller consists of three parts: the conventional PID controller, the gain-tuning fuzzy controller and the direct-action fuzzy controller, and can adjust the controller parameters with the variation of controlled objects.
To know the control state of the system, the spectrum analysis of the transient response of the system to unit step input canbe down,and it can be a criterion to tune the PID paramther of the controller, so that the control system is always in optimum state.
Simulation experiments show the proposed stability condition and robust constraint sets can provide a convenient way of adjusting controller parameters to ensure a closed-loop with larger stable margin.