The MIPS (model checking integrated planning system) has shown distinguished performance in the second and the third international planning competitions. In this paper, a declarative approach to adding domain knowledge in MIPS is presented. And DCIPS (domain constraints integrated planning system) has been developed according to this method. DCIPS allows different types of domain control knowledge such as objective, procedural or temporal knowledge to be represented and exploited in parallel, thus combining the ideas of ‘lanning = actions + states’into domain control knowledge. An advantage of this approach is that the domain control knowledge can be modularly formalized and added to the planning problem as desired. DCIPS is experimentally verified on the three examples in the transportation domain from AIPS 2002 planning competition where it leads to significant speed-ups.