1, Matlab Fuzzy Control Toolbox: http://blog.csdn.net/gameboy12615/article/details/6367459
2, Books: Advanced PID control MATLAB simulation/With
3, http://blog.sina.com.cn/s/blog_824188eb0102wflu.html
First, fuzzy control
1. The composition of the fuzzy controller:
- Fuzziness: The main function is to select the input amount of the fuzzy controller and convert it to the system-recognizable fuzzy amount
- The input quantity is satisfied with the requirement of fuzzy control.
- Scale conversion of input quantity;
- Determines the fuzzy language value of input and the membership function of the response.
- Rule base: Based on the experience of human experts, it is a key step to set up fuzzy rule base, which can contain the control rule of rudder, and transition from actual control experience to fuzzy controller.
- Fuzzy inference: The main realization of knowledge-based reasoning decision.
- Solution Blur: The main effect is to convert the control amount of the thrust channel into the control output.
2. Steps:
- Defining variables
- Blurring of
- Knowledge base
- Logical judgment
- Solution Blur
3. Fuzzy system
- Fuzzy-pid Compound Control
- Adaptive fuzzy Control
- Parameter self-tuning fuzzy control
- Expert fuzzy Controller (EFC)
- Fuzzy control of human-imitating intelligence
- Neuro-fuzzy controls (Neuro-fuzzy control)
- Multi-variable fuzzy control
Research on PID control algorithm
