The controlled object in heating ventilating and
air-conditioning (HVAC) system has large inertia, pure lag and
nonlinear characteristic. The uncertain disturbance factors affect
the control performance. This paper presents the control strategy
of self-adaptive human-imitating intelligent PID control, which is
adopted in the multivariable and strong couple nonlinear
temperature system. Different PID control strategy, together
with error observer for adjusting parameters online and control
of feed-forward compensation, is adopted according to different
error and its derivation to overcome the exoteric influence. At
the same time, the control strategy of lag compensation is
accordingly adopted in order to overcome the effect of lag
characteristic in the air-conditioning system. The experiments
and application in HVAC system show that the intelligent PID
controller has some advantage such as strong robust, selflearning
and self-organizing; especially the control algorithm is
easy to program and apply the actual control system. The
intelligent PID control is very effective and practical
The controlled object in heating ventilating andair-conditioning (HVAC) system has large inertia, pure lag andnonlinear characteristic. The uncertain disturbance factors affectthe control performance. This paper presents the control strategyof self-adaptive human-imitating intelligent PID control, which isadopted in the multivariable and strong couple nonlineartemperature system. Different PID control strategy, togetherwith error observer for adjusting parameters online and controlof feed-forward compensation, is adopted according to differenterror and its derivation to overcome the exoteric influence. Atthe same time, the control strategy of lag compensation isaccordingly adopted in order to overcome the effect of lagcharacteristic in the air-conditioning system. The experimentsand application in HVAC system show that the intelligent PIDcontroller has some advantage such as strong robust, selflearningand self-organizing; especially the control algorithm iseasy to program and apply the actual control system. Theintelligent PID control is very effective and practical
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