The particle swarm optimization algorithm optimizes the scale factor and quantization factor of the fuzzy PID controller
I want to use the particle swarm optimization algorithm to optimize the scale factor and quantization factor of the fuzzy PID controller, how do I do that? If I want to adjust the temperature of my cabin by controlling the speed of my compressor, can I set the difference between the actual temperature of the cabin and the set temperature as my objective function? My optimization goal was to control the cabin temperature, so that when there was a sudden disturbance from the outside world, my cabin would fluctuate less and correspondingly faster.I want to use the particle swarm optimization algorithm to optimize the scale factor and quantization factor of the fuzzy PID controller, how do I do that? If I want to adjust the temperature of my cabin by controlling the speed of my compressor, can I set the difference between the actual temperature of the cabin and the set temperature as my objective function? My optimization goal was to control the cabin temperature, so that when there was a sudden disturbance from the outside world, my cabin would fluctuate less and correspondingly faster. I want to use the particle swarm optimization algorithm to optimize the scale factor and quantization factor of the fuzzy PID controller, how do I do that? If I want to adjust the temperature of my cabin by controlling the speed of my compressor, can I set the difference between the actual temperature of the cabin and the set temperature as my objective function? My optimization goal was to control the cabin temperature, so that when there was a sudden disturbance from the outside world, my cabin would fluctuate less and correspondingly faster. particle swarm optimization algorithm,, fuzzy pid controller, MATLAB Answers — New Questions