Based　on　the　model　of　coordinated　control　object,　this　paper　firstly　eliminates　the　strong　coupling　between　the　input　and　output　variables　using　feedforward　compensation　decoupling　method.　The　fuzzy　adaptive　PID　controller,　using　the　decoupled　model,　is　designed　and　optimized　for　the　main　steam　pressure　channel　and　the　intermediate　point　temperature　channel　of　the　coordinated　control　object.　The　simulation　results　show　that,　using　the　fuzzy　adaptive　PID　controller　optimized　by　quantum-behaved　particle　swarm　optimization　algorithm,　the　overshoot　of　controlled　variable　decreases　and　the　adjustment　time　reduces　in　response　to　a　step　change.　Furthermore,　the　control　performance　of　PID　controller　is　greatly　improved.